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Taschenbuch. Etat : Neu. Neuware - A hands-on guide for delivering value with AI-driven products! Learn how AI can improve content creation, accelerate data analysis, and upgrade process automation.The Art of AI Product Development offers a clear, practical approach to creating products that use AI. It provides real-world guidance on defining your AI strategy, developing useful AI features, and supporting user trust and adoption. Rather than chasing trends, the book focuses on core principles and long-term thinkingfoundations that remain relevant as the field evolves. Inside The Art of AI Product Development, you will learn vital skills for the effective use of AI, including: Identifying market and business opportunities for AI Gaining an in-depth understanding of modern AI approaches, incl. predictive AI, LLMs, Retrieval-Augmented Generation, and agent systems Assembling AI solutions that work, without the hype Efficiently communicating with data scientists and ML engineers Designing user-friendly AI interfaces that emphasize trust and transparency Implementing safe, ethical AI with proper governance processes The Art of AI Product Development is written for product managers, tech executives, UX designers, and anyone responsible for the success of an AI-driven product. It introduces a broad spectrum of AI opportunities and case studies from different domains such as marketing, supply chain, and logistics. You'll carefully progress from initial design conversations, through to efficient and secure development, and on to deployment and day-to-day management of AI-driven applications. About the technology Integrating AI into your software and processes can create real value for your business and its customersif you do it right. When you're on the hook for delivering AI-enabled products, you'll need to spot high-impact opportunities, work effectively with engineers, design user-centric features, avoid common project failures, and manage real-world launches. This book shows you how. About the book The Art of AI Product Development gives you a clear framework, practical tools, and real-world examples to build confidence and succeed with new AI projectseven if you're tackling AI for the first time. You'll love the practical use cases and end-to-end scenarios from domains such as marketing, supply chain management, and sustainability. What's inside Ideate, shape, and prioritize AI opportunities Develop AI systems with techniques such as prompt engineering, RAG, and predictive AI Communicate with different AI stakeholders and promote AI adoption About the reader Written for software product managers, business-oriented engineers, UX designers, startup founders, and anyone responsible for developing, designing, or marketing AI products. No experience with AI required. About the author Dr. Janna Lipenkova is the founder of an AI and analytics business where she has successfully managed AI projects for world-class companies like BMW, Lufthansa, and Volkswagen. Table of Contents Part 1 1 Creating value with AI-driven products 2 Discovering and prioritizing AI opportunities 3 Mapping the AI solution space Part 2 4 Predictive AI 5 Exploring and evaluating language models 6 Prompt engineering 7 Search and retrieval-augmented generation 8 Fine-tuning language models 9 Automating workflows with agentic AI Part 3 10 AI user experience: Designing for uncertainty 11 AI governance 12 Working with your stakeholders Appendix A AI development toolbox Get a free Elektronisches Buch (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.

Taschenbuch. Etat : Neu. Neuware - Design and build Sales Cloud solutions to solve business challenges with this easy-to-follow handbookKey Features Discover the full range of capabilities offered by Sales Cloud and how to map them to business processes Learn how to plan and deliver all aspects of a successful Sales Cloud implementation Explore advanced concepts to integrate and extend Sales Cloud Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook DescriptionSalesforce Sales Cloud is a system rich in functionality, addressing many sales business challenges such as sales productivity, forecast visibility, and sales enablement. However, unlocking the full value of the system and getting maximum returns pose a challenge, especially if you're new to the technology.This implementation handbook goes beyond mere configuration to ensure a successful implementation journey. From laying the groundwork for your project to engaging stakeholders with sales-specific business insights, this book equips you with the knowledge you need to plan and execute.As you progress, you'll learn how to design a robust data model to support the sales and lead generation process, followed by crafting an intuitive user experience to drive productivity. You'll then explore crucial post-building aspects such as testing, training, and releasing functionality. Finally, you'll discover how the solutions' capability can be expanded by adding and integrating other tools to address typical sales use cases.By the end of this book, you'll have grasped how to leverage Sales Cloud to solve sales challenges and have gained the confidence to design and implement solutions successfully with the help of real-world use cases.What you will learn Find out how Sales Cloud capabilities solve common sales challenges Determine the best development methodologies Design and build core sales processes, including demand generation and sales productivity Implement best practices for testing and training with accurate data Build a release plan by understanding the types of post-go-live support Explore territory management and model additional processes with Sales Cloud Understand common system integration use cases Harness the power of AppExchange solutions for salesWho this book is forThis book is for administrators, consultants, and business analysts who want to understand and apply the capabilities of Salesforce Sales Cloud. Whether you're completely new to Sales Cloud or enhancing existing functionalities within your organization, this handbook is your trusted companion. Business stakeholders responsible for or involved in Sales Cloud implementations will also benefit from this book.Table of Contents Preparing For Success Defining the Approach The Core Sales Process The Lead Generation Process Design and Build: Sales User Productivity Bringing Data into Sales Cloud Getting Sign-Off Executing Testing Executing Training Deployment Planning Territory Management Modeling Additional Processes with Sales Cloud Common System Integrations Extending with the AppExchange.

Taschenbuch. Etat : Neu. Neuware - Gain a comprehensive grasp on the key objectives to pass the MS-100 exam, reinforced with practice questions throughout the bookPurchase of the print or Kindle book includes a free PDF Elektronisches BuchKey Features:Plan and implement Azure AD identity, including your choice of authentication strategy and securing accessConfigure core features such as self-service password reset and Azure AD identity protectionWork with self-assessment questions, exam tips, and practice tests based on the latest exam blueprintBook Description:This book serves as a comprehensive guide to prepare you for the Microsoft Identity and Services exam, which focuses on the core identity and security aspects of a Microsoft 365 tenant. The exam MS-100 tests your proficiency in Azure AD authentication types, user management roles, access management, and workload applications.This book follows the published MS-100 blueprint, which covers identity and identity synchronization concepts, administrative roles, and crucial security topics such as self-service password reset, Azure AD password protection, and multifactor authentication. You'll gain insights into application and authentication concepts, including OAuth application request management, enterprise application configuration, the benefits of Azure AD Application Proxy, and deploying Microsoft 365 apps.The book also delves into passwordless sign-in methods and provides overviews of configuring Exchange Online, Microsoft Teams, SharePoint Online, and OneDrive for Business in both cloud-only and hybrid deployments. You'll be able to assess your knowledge retention at the end of each chapter.By the end of this MS-100 study guide, you'll have built the knowledge and skills to pass the MS-100 exam and be able to ensure thorough preparation with the help of practice exam questions.What You Will Learn:Build your knowledge to effectively plan a Microsoft 365 tenantExamine and monitor health metrics in the Microsoft 365 environmentSelect an authentication model that aligns with both business and security requirementsImplement App Proxy, enterprise applications, and SAML integrationConfigure Exchange Online and Exchange hybrid scenariosDeploy the Microsoft 365 Apps seamlessly in your organizationExplore the core features of SharePoint Online, OneDrive, and TeamsWho this book is for:Designed for both intermediate and experienced administrators, as well as individuals preparing to take the MS-100 exam, this book caters to those pursuing standalone achievement or aspiring to attain the Microsoft 365 Certified: Enterprise Administrator Expert certification. A foundational understanding of Microsoft 365 services and associated technologies is expected.

Hardback. Etat : New. This is an open access title available under the terms of a CC BY-NC 4.0 International licence. It is free to read at Oxford Scholarship Online and offered as a free PDF download from OUP and selected open access locations.Sub-Saharan Africa's rural population is growing rapidly, and more young people are entering the labour market every year. This raises serious policy questions. Can rural economies absorb enough job seekers? Could better-educated youth transform Africa's rural economies by adopting new technologies and starting businesses? Are policymakers responding to the youth employment challenge? Or will there be widespread unemployment, social instability, and an exodus to cities and abroad? Youth and Jobs in Rural Africa: Beyond Stylized Facts uses survey data to build a nuanced understanding of the constraints and opportunities facing rural youth in Africa. Addressing the questions of Africa's rural youth is currently hampered by major gaps in our knowledge and stylized facts from cross-country trends or studies that do not focus on the core issues. Youth and Jobs in Rural Africa takes a different approach, drawing on household and firm surveys from selected African countries with an explicit focus on rural youth. It argues that a balance between alarm and optimism is warranted, and that Africa's "youth bulge" is not an unprecedented challenge. Jobs in rural areas are limited, but agriculture is transforming and youth are participating, adopting new technologies and running businesses. Governments have adopted youth employment as a priority, but policies often do not address the specific needs of rural populations. Youth and Jobs in Rural Africa emphasizes that by going beyond stylized facts and drawing on more granular analysis, we can design effective policies to turn Africa's youth problem into an opportunity for rural transformation.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Apply data fabric solutions to automate data integration, data sharing, and data protection across disparate data sources without moving your dataPurchase of the print or Kindle book includes a free PDF Elektronisches BuchKey Features:Learn to design data fabric architecture effectively with your choice of toolBuild and use a data fabric solution using DataOps and data mesh frameworksFind out how to build data integration, data governance, and self-service analytics architectureBook Description:Data can be found everywhere, from cloud environments and relational and non-relational databases to data lakes, data warehouses, and data lakehouses. Data management practices can be standardized across the cloud, on-premises, and edge devices with Data Fabric, a powerful architecture that creates a unified view of data. This book will enable you to design a Data Fabric solution by addressing all the key aspects that need to be considered.The book begins by introducing you to Data Fabric architecture, why you need them, and how they relate to other strategic data management frameworks. You'll then quickly progress to grasping the principles of DataOps, an operational model for Data Fabric architecture. The next set of chapters will show you how to combine Data Fabric with DataOps and Data Mesh and how they work together by making the most out of it. After that, you'll discover how to design Data Integration, Data Governance, and Self-Service analytics architecture. The book ends with technical architecture to implement distributed data management and regulatory compliance, followed by industry best practices and principles.By the end of this data book, you will have a clear understanding of what Data Fabric is and what the architecture looks like, along with the level of effort that goes into designing a Data Fabric solution.What You Will Learn:Understand the core components of Data Fabric solutionsCombine Data Fabric with Data Mesh and DataOps frameworksImplement distributed data management and regulatory compliance using Data FabricManage and enforce Data Governance with active metadata using Data FabricExplore industry best practices for effectively implementing a Data Fabric solutionWho this book is for:If you are a data engineer, data architect, or business analyst who wants to learn all about implementing data fabric architecture, then this is the book for you. This book will also benefit senior data professionals such as chief data officers looking to integrate data fabric architecture into the broader ecosystem.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Learn the concepts and exercises needed to confidently prepare for the Databricks Associate Developer for Apache Spark 3.0 exam and validate your Spark skills with an industry-recognized credentialKey Features: Understand the fundamentals of Apache Spark to design robust and fast Spark applications Explore various data manipulation components for each phase of your data engineering project Prepare for the certification exam with sample questions and mock exams Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook Description:Spark has become a de facto standard for big data processing. Migrating data processing to Spark saves resources, streamlines your business focus, and modernizes workloads, creating new business opportunities through Spark's advanced capabilities. Written by a senior solutions architect at Databricks, with experience in leading data science and data engineering teams in Fortune 500s as well as startups, this book is your exhaustive guide to achieving the Databricks Certified Associate Developer for Apache Spark certification on your first attempt.You'll explore the core components of Apache Spark, its architecture, and its optimization, while familiarizing yourself with the Spark DataFrame API and its components needed for data manipulation. You'll also find out what Spark streaming is and why it's important for modern data stacks, before learning about machine learning in Spark and its different use cases. What's more, you'll discover sample questions at the end of each section along with two mock exams to help you prepare for the certification exam.By the end of this book, you'll know what to expect in the exam and gain enough understanding of Spark and its tools to pass the exam. You'll also be able to apply this knowledge in a real-world setting and take your skillset to the next level.What You Will Learn: Create and manipulate SQL queries in Apache Spark Build complex Spark functions using Spark's user-defined functions (UDFs) Architect big data apps with Spark fundamentals for optimal design Apply techniques to manipulate and optimize big data applications Develop real-time or near-real-time applications using Spark Streaming Work with Apache Spark for machine learning applicationsWho this book is for:This book is for data professionals such as data engineers, data analysts, BI developers, and data scientists looking for a comprehensive resource to achieve Databricks Certified Associate Developer certification, as well as for individuals who want to venture into the world of big data and data engineering. Although working knowledge of Python is required, no prior knowledge of Spark is necessary. Additionally, experience with Pyspark will be beneficial.Table of Contents Overview of Certification Guide and Exam Understanding Apache Spark and Its Applications Spark Architecture & Transformations Spark Datarames and its Operations Advanced Operations in Spark SQL Queries in Spark Structured Streaming in Spark Machine Learning with Spark ML Mock Test.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Strengthen your ability to implement, assess, evaluate, and enhance the effectiveness of information security controls based on ISO/IEC 27001/27002:2022 standardsPurchase of the print or Kindle book includes a free PDF Elektronisches BuchKey Features:Familiarize yourself with the clauses and control references of ISO/IEC 27001:2022Define and implement an information security management system aligned with ISO/IEC 27001/27002:2022Conduct management system audits to evaluate their effectiveness and adherence to ISO/IEC 27001/27002:2022Book Description:ISO 27001 and ISO 27002 are globally recognized standards for information security management systems (ISMSs), providing a robust framework for information protection that can be adapted to all organization types and sizes. Organizations with significant exposure to information-security-related risks are increasingly choosing to implement an ISMS that complies with ISO 27001. This book will help you understand the process of getting your organization's information security management system certified by an accredited certification body.The book begins by introducing you to the standards, and then takes you through different principles and terminologies. Once you completely understand these standards, you'll explore their execution, wherein you find out how to implement these standards in different sizes of organizations. The chapters also include case studies to enable you to understand how you can implement the standards in your organization. Finally, you'll get to grips with the auditing process, planning, techniques, and reporting and learn to audit for ISO 27001.By the end of this book, you'll have gained a clear understanding of ISO 27001/27002 and be ready to successfully implement and audit for these standards.What You Will Learn:Develop a strong understanding of the core principles underlying information securityGain insights into the interpretation of control requirements in the ISO 27001/27002:2022 standardUnderstand the various components of ISMS with practical examples and case studiesExplore risk management strategies and techniquesDevelop an audit plan that outlines the scope, objectives, and schedule of the auditExplore real-world case studies that illustrate successful implementation approachesWho this book is for:This book is for information security professionals, including information security managers, consultants, auditors, officers, risk specialists, business owners, and individuals responsible for implementing, auditing, and administering information security management systems. Basic knowledge of organization-level information security management, such as risk assessment, security controls, and auditing, will help you grasp the topics in this book easily.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Gain a deeper understanding of AWS services by building eight real-world projectsKey Features: Gain practical skills in architecting, deploying, and managing applications on AWS from seasoned experts Get hands-on experience by building different architectures in an easy-to-follow manner Understand the purpose of different aspects in AWS, and how to make the most of them Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook Description:Tired of resumes that get lost in the pile This book is your roadmap to creating an in-demand AWS portfolio that grabs attention and gets you hired.This comprehensive guide unlocks the vast potential of AWS for developers of all levels. Inside, you'll find invaluable guidance for crafting stunning websites with S3, CloudFront, and Route53. You'll build robust and scalable applications, such as recipe-sharing platforms, using DynamoDB and Elastic Load Balancing. For streamlined efficiency, the book will teach you how to develop serverless architectures with AWS Lambda and Cognito. Gradually, you'll infuse your projects with artificial intelligence by creating a photo analyzer powered by Amazon Rekognition. You'll also automate complex workflows for seamless content translation using Translate, CodePipeline, and CodeBuild. Later, you'll construct intelligent virtual assistants with Amazon Lex and Bedrock to answer web development queries. The book will also show you how to visualize your data with insightful dashboards built using Athena, Glue, and QuickSight.By the end of this book, you'll be ready to take your projects to the next level and succeed in the dynamic world of cloud computing.What You Will Learn: Develop a professional CV website and gain familiarity with the core aspects of AWS Build a recipe-sharing application using AWS's serverless toolkit Leverage AWS AI services to create a photo friendliness analyzer for professional profiles Implement a CI/CD pipeline to automate content translation across languages Develop a web development Q&A chatbot powered by cutting-edge LLMs Build a business intelligence application to analyze website clickstream data and understand user behavior with AWSWho this book is for:If you're a student who wants to start your career in cloud computing or a professional with experience in other technical areas like software development who wants to embrace a new professional path or complement your technical skills in cloud computing, this book is for you. A background in computer science or engineering and basic programming skills is recommended. All the projects in the book have theoretical explanations of the services used and do not assume any previous AWS knowledge.Table of Contents Deploying and Interacting with AWS Services Creating a Personal Website Building a Recipe-Sharing Application Building a Serverless Recipe-Sharing Application Implementing an Image Analyzer to Detect Photo Friendliness Architecting a Content Translation Pipeline Implementing a Chatbot Using Machine Learning Building a Business Intelligence Application Exploring Future Work.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Become a data wrangling expert and make well-informed decisions by effectively utilizing and analyzing raw unstructured data in a systematic mannerPurchase of the print or Kindle book includes a free PDF Elektronisches BuchKey Features:Implement query optimization during data wrangling using the SQL language with practical use casesMaster data cleaning, handle the date function and null value, and write subqueries and window functionsPractice self-assessment questions for SQL-based interviews and real-world case study roundsBook Description:The amount of data generated continues to grow rapidly, making it increasingly important for businesses to be able to wrangle this data and understand it quickly and efficiently. Although data wrangling can be challenging, with the right tools and techniques you can efficiently handle enormous amounts of unstructured data.The book starts by introducing you to the basics of SQL, focusing on the core principles and techniques of data wrangling. You'll then explore advanced SQL concepts like aggregate functions, window functions, CTEs, and subqueries that are very popular in the business world. The next set of chapters will walk you through different functions within SQL query that cause delays in data transformation and help you figure out the difference between a good query and bad one. You'll also learn how data wrangling and data science go hand in hand. The book is filled with datasets and practical examples to help you understand the concepts thoroughly, along with best practices to guide you at every stage of data wrangling.By the end of this book, you'll be equipped with essential techniques and best practices for data wrangling, and will predominantly learn how to use clean and standardized data models to make informed decisions, helping businesses avoid costly mistakes.What You Will Learn:Build time series models using data wranglingDiscover data wrangling best practices as well as tips and tricksFind out how to use subqueries, window functions, CTEs, and aggregate functionsHandle missing data, data types, date formats, and redundant dataBuild clean and efficient data models using data wrangling techniquesRemove outliers and calculate standard deviation to gauge the skewness of dataWho this book is for:This book is for data analysts looking for effective hands-on methods to manage and analyze large volumes of data using SQL. The book will also benefit data scientists, product managers, and basically any role wherein you are expected to gather data insights and develop business strategies using SQL as a language. If you are new to or have basic knowledge of SQL and databases and an understanding of data cleaning practices, this book will give you further insights into how you can apply SQL concepts to build clean, standardized data models for accurate analysis.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Build your own robo-advisor in Python to manage your investments and get up and running in no timePurchase of the print or Kindle book includes a free PDF Elektronisches Buch Key Features:Explore the use cases, workflow, and features that make up robo-advisors Learn how to build core robo-advisor capabilities for goals, risk questions, portfolios, and projections Discover how to operate the automated processes of a built and deployed robo-advisor Book Description: Robo-advisors are becoming table stakes for the wealth management industry across all segments, from retail to high-net-worth investors. Robo-advisors enable you to manage your own portfolios and financial institutions to create automated platforms for effective digital wealth management. This book is your hands-on guide to understanding how Robo-advisors work, and how to build one efficiently. The chapters are designed in a way to help you get a comprehensive grasp of what Robo-advisors do and how they are structured with an end-to-end workflow. You'll begin by learning about the key decisions that influence the building of a Robo-advisor, along with considerations on building and licensing a platform. As you advance, you'll find out how to build all the core capabilities of a Robo-advisor using Python, including goals, risk questionnaires, portfolios, and projections. The book also shows you how to create orders, as well as open accounts and perform KYC verification for transacting. Finally, you'll be able to implement capabilities such as performance reporting and rebalancing for operating a Robo-advisor with ease. By the end of this book, you'll have gained a solid understanding of how Robo-advisors work and be well on your way to building one for yourself or your business. What You Will Learn:Explore what Robo-advisors do and why they exist Create a workflow to design and build a Robo-advisor from the bottom up Build and license Robo-advisors using different approaches Open and fund accounts, complete KYC verification, and manage orders Build Robo-advisor features for goals, projections, portfolios, and more Operate a Robo-advisor with P&L, rebalancing, and fee management Who this book is for: If you are a finance professional or a data professional working in wealth management and are curious about how robo-advisors work, this book is for you. It will be helpful to have a basic understanding of Python and investing concepts. This is a great handbook for developers interested in building their own robo-advisor to manage personal investments or build a platform for their business to operate, as well as for product managers and business leaders in financial services looking to lease, buy, or build a robo-advisor.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Gain comprehensive insights to safeguard your systems against advanced threats and maintain resilient security postureKey Features: Develop a comprehensive understanding of advanced defense strategies to shape robust security programs Evaluate the effectiveness of a security strategy through the lens of Defense in Depth principles Understand the attacker mindset to deploy solutions that protect your organization from emerging threats Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook Description:In an era of relentless cyber threats, organizations face daunting challenges in fortifying their defenses against increasingly sophisticated attacks. The Complete Guide to Defense in Depth offers a comprehensive roadmap to navigating the complex landscape, empowering you to master the art of layered security.This book starts by laying the groundwork, delving into risk navigation, asset classification, and threat identification, helping you establish a robust framework for layered security. It gradually transforms you into an adept strategist, providing insights into the attacker's mindset, revealing vulnerabilities from an adversarial perspective, and guiding the creation of a proactive defense strategy through meticulous mapping of attack vectors. Toward the end, the book addresses the ever-evolving threat landscape, exploring emerging dangers and emphasizing the crucial human factor in security awareness and training. This book also illustrates how Defense in Depth serves as a dynamic, adaptable approach to cybersecurity.By the end of this book, you'll have gained a profound understanding of the significance of multi-layered defense strategies, explored frameworks for building robust security programs, and developed the ability to navigate the evolving threat landscape with resilience and agility.What You Will Learn: Understand the core tenets of Defense in Depth, its principles, and best practices Gain insights into evolving security threats and adapting defense strategies Master the art of crafting a layered security strategy Discover techniques for designing robust and resilient systems Apply Defense in Depth principles to cloud-based environments Understand the principles of Zero Trust security architecture Cultivate a security-conscious culture within organizations Get up to speed with the intricacies of Defense in Depth for regulatory compliance standardsWho this book is for:This book is for security engineers, security analysts, and security managers who are focused on secure design and Defense in Depth. Business leaders and software developers who want to build a security mindset will also find this book valuable. Additionally, students and aspiring security professionals looking to learn holistic security strategies will benefit from the book. This book doesn't assume any prior knowledge and explains all the fundamental concepts. However, experience in the security industry and awareness of common terms will be helpful.Table of Contents Navigating Risk, Classifying Assets, and Unveiling Threats Practical Guide to Defense in Depth Building a Framework for Layered Security Understanding the Attacker Mindset Uncovering Weak Points through an Adversarial Lens Mapping Attack Vectors and Gaining an Edge Building a Proactive Layered Defense Strategy Understanding Emerging Threats and Defense in Depth The Human Factor - Security Awareness and Training Defense in Depth - A Living, Breathing Approach to Security.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Bring your data to life with this accessible yet fast-paced introduction to Power BI, now in color.Purchase of the print or Kindle book includes a free Elektronisches Buch in PDF format.Key Features: Learn faster with practical examples of the latest features of Power BI, including navigator buttons, column-level security, visualizing goals, and more Migrate your existing Excel and data analysis skills to Power BI Build accurate analytical models, reports, and dashboards, now in colorBook Description:Updated with the latest features and improvements in Power BI, this fast-paced yet comprehensive guide will help you master the core concepts of data visualization quickly. You'll learn how to install Power BI, design effective data models, and build basic dashboards and visualizations to help you make better business decisions. This new edition will also help you bridge the gap between MS Excel and Power BI.Throughout this book, you'll learn how to obtain data from a variety of sources and clean it using the Power Query Editor. You'll also start designing data models to navigate and explore relationships within your data and building DAX formulas to make data easier to work with. Visualizing data is a key element of this book, so there's an emphasis on helping you get to grips with data visualization styles and enhanced digital storytelling.As you progress, you'll start building your own dataflows, gain an understanding of the Common Data Model, and automate dataflow refreshes to eradicate data cleaning inefficiency. You'll learn how to administer your organization's Power BI environment so that deployment can be made seamless, data refreshes can run properly, and security can be fully implemented.By the end of this Power BI book, you'll know how to get the most out of Power BI for better business intelligence.What You Will Learn: Connect to data sources using import, DirectQuery, and live connection options Use Power Query Editor for data transformation and data cleansing processes, and write M and R scripts and dataflows to do the same in the cloud Design effective reports with built-in and custom visuals to optimize user experience Implement row-level and column-level security in your dashboards Administer a Power BI cloud tenant for your organization Use built-in AI capabilities to enhance Power BI data transformation techniques Deploy your Power BI Desktop files into Power BI Report ServerWho this book is for:This book is for aspiring business intelligence and data professionals with a basic understanding of BI concepts, who want to learn Power BI quickly. Complete beginners with no BI background can also get plenty of useful information from this book.Table of Contents Gaining Data Literacy with Power BI Connecting to Data Data Transformation Strategies Building the Data Model Leveraging DAX Visualizing Data Digital Storytelling with Power BI Using a Cloud Deployment with the Power BI Service Data Cleansing in the Cloud with Dataflows On-Premises Solutions with Power BI Report Server.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Bridge the gap between business and data science by learning how to interpret machine learning and AI models, manage data teams, and achieve impactful resultsKey Features: Master the concepts of statistics and ML to interpret models and guide decisions Identify valuable AI use cases and manage data science projects from start to finish Empower top data science teams to solve complex problems and build AI products Purchase of the print Kindle book includes a free PDF Elektronisches BuchBook Description:As data science and artificial intelligence (AI) become prevalent across industries, executives without formal education in statistics and machine learning, as well as data scientists moving into leadership roles, must learn how to make informed decisions about complex models and manage data teams. This book will elevate your leadership skills by guiding you through the core concepts of data science and AI.This comprehensive guide is designed to bridge the gap between business needs and technical solutions, empowering you to make informed decisions and drive measurable value within your organization. Through practical examples and clear explanations, you'll learn how to collect and analyze structured and unstructured data, build a strong foundation in statistics and machine learning, and evaluate models confidently. By recognizing common pitfalls and valuable use cases, you'll plan data science projects effectively, from the ground up to completion. Beyond technical aspects, this book provides tools to recruit top talent, manage high-performing teams, and stay up to date with industry advancements.By the end of this book, you'll be able to characterize the data within your organization and frame business problems as data science problems.What You Will Learn: Discover how to interpret common statistical quantities and make data-driven decisions Explore ML concepts as well as techniques in supervised, unsupervised, and reinforcement learning Find out how to evaluate statistical and machine learning models Understand the data science lifecycle, from development to monitoring of models in production Know when to use ML, statistical modeling, or traditional BI methods Manage data teams and data science projects effectivelyWho this book is for:This book is designed for executives who want to understand and apply data science methods to enhance decision-making. It is also for individuals who work with or manage data scientists and machine learning engineers, such as chief data officers (CDOs), data science managers, and technical project managers.Table of Contents Introducing Data Science Characterizing and Collecting Data Exploratory Data Analysis The Significance of Significance Understanding Regression Introducing Machine Learning Supervised Machine Learning Unsupervised Machine Learning Interpreting and Evaluating Machine Learning Models Common Pitfalls in Machine Learning The Structure of a Data Science Project The Data Science Team Managing the Data Science Team Continuing Your Journey as a Data Science Leader.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Learn everything you need to know to manage data as a product and shift toward a more modular and decentralized socio-technical data architecture to deliver business value in an incremental, measurable, and sustainable wayKey Features: Leverage data-as-product to unlock the modular platform potential and fix flaws in traditional monolithic architectures Learn how to identify, implement, and operate data products throughout their life cycle Design and execute a forward-thinking strategy to turn your data products into organizational assets Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook Description:Traditional monolithic data platforms struggle with scalability and burden central data teams with excessive cognitive load, leading to challenges in managing technological debt. As maintenance costs escalate, these platforms lose their ability to provide sustained value over time. With two decades of hands-on experience implementing data solutions and his pioneering work in the Open Data Mesh Initiative, Andrea Gioia brings practical insights and proven strategies for transforming how organizations manage their data assets.Managing Data as a Product introduces a modular and distributed approach to data platform development, centered on the concept of data products. In this book, you'll explore the rationale behind this shift, understand the core features and structure of data products, and learn how to identify, develop, and operate them in a production environment. The book guides you through designing and implementing an incremental, value-driven strategy for adopting data product-centered architectures, including strategies for securing buy-in from stakeholders. Additionally, it explores data modeling in distributed environments, emphasizing its crucial role in fully leveraging modern generative AI solutions.By the end of this book, you'll have gained a comprehensive understanding of product-centric data architecture and the essential steps needed to adopt this modern approach to data management.What You Will Learn: Overcome the challenges in scaling monolithic data platforms, including cognitive load, tech debt, and maintenance costs Discover the benefits of adopting a data-as-a-product approach for scalability and sustainability Navigate the complete data product lifecycle, from inception to decommissioning Automate data product lifecycle management using a self-serve platform Implement an incremental, value-driven strategy for transitioning to data-product-centric architectures Optimize data modeling in distributed environments to enhance GenAI-based use casesWho this book is for:If you're an experienced data engineer, data leader, architect, or practitioner committed to reimagining your data architecture and designing one that enables your organization to get the most value from your data in a sustainable and scalable way, this book is for you. Whether you're a staff engineer, product manager, or a software engineering leader or executive, you'll find this book useful. Familiarity with basic data engineering principles and practices is assumed.Table of Contents From Data as a Byproduct to Data as a Product Data Products Data Product-Centered Architectures Identifying Data Products and Prioritizing Developments Designing and Implementing Data Products Operating Data Products in Production Automating Data Product Lifecycle Management(N.B. Please use the Read Sample option to see further chapters).

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Unlock the power of Anypoint Platform by leveraging MuleSoft methodology, Accelerators, runtime engines, and management tools to deliver secure, high-value APIs and integration solutions across the enterpriseKey Features: Discover Anypoint Platform's capabilities for creating high-availability, high-performance APIs Learn about AnyPoint architecture and platform attributes for Mule app deployment Explore best practices, tips, and tricks that will help you tackle challenging exam topics and achieve MuleSoft certification Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook Description:We're living in the era of digital transformation, where organizations rely on APIs to enable innovation within the business and IT teams are asked to continue doing more with less. Written by Jim Andrews, a Mulesoft Evangelist, and Jitendra Bafna, a Senior Solution Architect with expertise in setting up Mulesoft, this book will help you deliver a robust, secure, and flexible enterprise API platform, supporting any required business outcome.You'll start by exploring Anypoint Platform's architecture and its capabilities for modern integration before learning how to align business outcomes with functional requirements and how non-functional requirements shape the architecture. You'll also find out how to leverage Catalyst and Accelerators for efficient development. You'll get to grips with hassle-free API deployment and hosting in CloudHub 1.0/2.0, Runtime Fabric Manager, and hybrid environments and familiarize yourself with advanced operating and monitoring techniques with API Manager and Anypoint Monitoring. The final chapters will equip you with best practices for tackling complex topics and preparing for the MuleSoft Certified Platform Architect exam.By the end of this book, you'll understand Anypoint Platform's capabilities and be able to architect solutions that deliver the desired business outcomes.What You Will Learn: Understand Anypoint Platform's integration architecture with core components Discover how to architect a solution using Catalyst principles Explore best practices to design an application network Align microservices, application networks, and event architectures with Anypoint Platform's capabilities Identify non-functional requirements that shape the architecture Perform hassle-free application deployment to CloudHub using the Mule Maven plugin, CLI, and Platform API Understand how to manage the API life cycle for MuleSoft and non-MuleSoft APIsWho this book is for:This book is for technical and infrastructure architects with knowledge of integration and APIs who are looking to implement these solutions with MuleSoft's Anypoint Platform. Architects enrolled in the platform architect course who want to understand the platform's capabilities will also find this book helpful. The book is also a great resource for MuleSoft senior developers transitioning to platform architect roles and planning to take the MuleSoft Platform Architect exam. A solid understanding of MuleSoft API development, ideally 3 to 5 years of experience with the platform, is necessary.Table of Contents What is the MuleSoft Platform Platform Foundation Components and the Underlying Architecture Leveraging Catalyst and the Mulesoft KnowledgeHub An Introduction to Application Networks Speeding with Accelerators Aligning Desired Business Outcomes to Functional Requirements Microservices, Application Networks, EDA, and API-led Design Non-Functional Requirements Influence in Shaping the API Architecture(N.B. Please use the Read Sample option to see further chapters).

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Become proficient in Amazon Bedrock by taking a hands-on approach to building and scaling generative AI solutions that are robust, secure, and compliant with ethical standardsKey Features: Learn the foundations of Amazon Bedrock from experienced AWS Machine Learning Specialist Architects Master the core techniques to develop and deploy several AI applications at scale Go beyond writing good prompting techniques and secure scalable frameworks by using advanced tips and tricks Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook Description:The concept of generative artificial intelligence has garnered widespread interest, with industries looking to leverage it to innovate and solve business problems. Amazon Bedrock, along with LangChain, simplifies the building and scaling of generative AI applications without needing to manage the infrastructure.Generative AI with Amazon Bedrock takes a practical approach to enabling you to accelerate the development and integration of several generative AI use cases in a seamless manner. You'll explore techniques such as prompt engineering, retrieval augmentation, fine-tuning generative models, and orchestrating tasks using agents. The chapters take you through real-world scenarios and use cases such as text generation and summarization, image and code generation, and the creation of virtual assistants. The latter part of the book shows you how to effectively monitor and ensure security and privacy in Amazon Bedrock.By the end of this book, you'll have gained a solid understanding of building and scaling generative AI apps using Amazon Bedrock, along with various architecture patterns and security best practices that will help you solve business problems and drive innovation in your organization.What You Will Learn: Explore the generative AI landscape and foundation models in Amazon Bedrock Fine-tune generative models to improve their performance Explore several architecture patterns for different business use cases Gain insights into ethical AI practices, model governance, and risk mitigation strategies Enhance your skills in employing agents to develop intelligence and orchestrate tasks Monitor and understand metrics and Amazon Bedrock model response Explore various industrial use cases and architectures to solve real-world business problems using RAG Stay on top of architectural best practices and industry standardsWho this book is for:This book is for generalist application engineers, solution engineers and architects, technical managers, ML advocates, data engineers, and data scientists looking to either innovate within their organization or solve business use cases using generative AI. A basic understanding of AWS APIs and core AWS services for machine learning is expected.Table of Contents Exploring Amazon Bedrock Accessing and Utilizing Models in Amazon Bedrock Engineering Prompts for Effective Model Usage Customizing Models for Enhanced Performance Harnessing the Power of RAG Generating and Summarizing Text with Amazon Bedrock Building Question Answering Systems and Conversational Interfaces Extracting Entities and Generating Code with Amazon Bedrock Generating and Transforming Images Using Amazon Bedrock Developing Intelligent Agents with Amazon Bedrock Evaluating and Monitoring Models with Amazon Bedrock Ensuring Security and Privacy in Amazon Bedrock.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Master Amazon EC2 with this comprehensive guide to unleashing the full potential of cloud computing, optimizing performance, and revolutionizing your business processesKey Features Gain an in-depth understanding of EC2 core components, connectivity, networking, and security best practices Build resilient applications with load balancing, autoscaling and diverse storage options Learn advanced concepts and use cases for serverless, containers, HPC, and hybrid/multi cloud architecture Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook DescriptionThis comprehensive guide demystifies the complex landscape of Amazon EC2, from fundamentals to advanced concepts. You'll begin by understanding EC2 core components, creating and managing AMIs, selecting the right instance type and size, establishing networking and connectivity, and implementing security best practices. Next, you'll start building resilient apps on EC2, load balancing, auto scaling, storage options, performance optimization, monitoring, logging, and auditing. You'll also explore advanced concepts like containers, serverless, hybrid/multi-cloud architectures, high performance computing, big data, and disaster recovery strategies. By the end, you'll be equipped with the knowledge and confidence to harness the full potential of Amazon EC2.What you will learn Discover how to create, manage, and select the right EC2 AMIs Explore load balancing and auto scaling with Elastic Load Balancing (ELB) and Auto Scaling Groups (ASGs) Study EC2 storage options and performance optimization Master monitoring and maintenance with Amazon Web Services (AWS) tools Understand containerization, serverless computing, and EC2 automation Get up to speed with migration, modernization, and compliance in EC2Who this book is forThis Amazon book is for IT professionals, DevOps engineers, cloud architects and developers looking to delve into Amazon EC2 and cloud computing. No prior AWS experience is required as the book takes you through the fundamentals, gradually advancing toward more complex topics.Table of Contents Introduction to Amazon EC2 and Its Benefits Understanding Core Components of Amazon EC2 Creating and Managing Amazon EC2 Machine Images (AMI) Choosing the Right Amazon EC2 Instance Type and Size Networking and Connectivity in Amazon EC2 Implementing Security Best Practices in Amazon EC2 Load Balancing and Auto Scaling with Elastic Load Balancer and Auto Scaling Groups Understanding and Optimizing Amazon EC2 Storage Options Optimizing Performance with Amazon EC2 Placement Groups and Pricing Model Monitoring, Logging, and Maintenance with Amazon CloudWatch, AWS CloudTrail, and Backup Strategies Automating Amazon EC2 - AWS CloudFormation and Infrastructure as Code Containerization and Serverless Computing in Amazon EC2 Leveraging AWS Services for Hybrid and Multi-Cloud Architectures Optimizing Amazon EC2 for High-Performance Computing, Big Data, and Disaster Recovery Strategies Migrating, Modernizing, and Ensuring Compliance in Amazon EC2 Environments.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Build your career in data analytics with this ultimate guide to excelling as a Power BI professionalKey Features: Seize your dream job with expert guidance for interview preparation and valuable tips Navigate the hiring process confidently with a proven step-by-step approach Stand out from the competition by honing your technical skills and interview strategies Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook Description:The Complete Power Interview Guide helps you excel in a Power BI interview, secure desired roles, and be ready with the knowledge and skills to ace your role from the first day. Whether you're beginning your career journey or transitioning into a data analytics role, this guide offers hands-on skills and interview questions you need to succeed as a BI or data analyst. This book also offers supplemental content for PowerBI certification exams like PL-300.The book will equip you with the knowledge and strategies to effectively navigate the competitive job market. From creating an outstanding online professional profile to optimizing your resume and building a compelling work portfolio, you'll learn how to establish a strong personal brand. The essentials of Power BI, including data preparation, data modeling, DAX programming, expert report development, and impactful storytelling, are covered in-depth through real-world examples and valuable tips.By the end of this book, you'll have the confidence to interview for Power BI roles, navigate technical assessments, answer behavioral questions, and tackle case studies. You'll have gained applied knowledge and the competitive edge needed to succeed in the data analytics job market and stay ahead of industry trends for career advancement.What You Will Learn: Elevate your profile presentation with standout techniques Navigate the Power BI job market strategically for job-hunting success Cultivate essential soft skills for career growth Explore the complete analytics development cycle in Power BI Master key Power BI development concepts in core areas with carefully crafted hands-on demonstrations, case studies, and interview questions Gain insights into HR interviews, salary negotiations, and onboarding proceduresWho this book is for:This book is for data enthusiasts and professionals aspiring to secure interviews for roles such as data analyst, business intelligence analyst or developer, and Power BI-related positions. Whether you're new to the field or an experienced practitioner, this book provides valuable insights and strategies to enhance your Power BI skills and succeed in the hiring process. Basic knowledge of Power BI and data analytics, coupled with a drive to create impactful Power BI solutions with precise data insights, will help you make the most of this book.Table of Contents Exposing Your Profile Support Skills for Power BI Developers The Power BI Workflow Data Analysis with Power BI Preparing, Transforming, and Modeling Data Exploring, Visualizing, and Sharing Data and Deploying Solutions DAX Programming Expert Report Building Effective Data Storytelling Using Dashboards and Apps and Implementing Security Understanding the HR Interview Process and Preparing for Success Tips for Negotiating Salary and Benefits Best Practices for Accepting and Rejecting Job Offers - Onboarding and Beyond.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Master the core concepts of Salesforce administration and gain a holistic understanding of the SF ecosystem that will also help you prepare for the Salesforce certification examKey Features: Understand Salesforce architecture and security model Integrate Flow Builder with other Salesforce components for seamless automation Understand how to create and manage approval workflows in Salesforce Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook Description:Do you aspire to be a successful Salesforce administrator or consultant If yes, then this step-by-step guide is for you. Written by certified Salesforce professionals, the Salesforce CRM Administration Handbook will take you through the intricacies of Salesforce, covering objects, records, automation, and much more.Starting with an overview of the capabilities and limitations of Salesforce, you'll progress toward a holistic understanding of system architecture with real-world examples, including workarounds that enable the successful completion of projects. As you delve deeper, you'll learn about the fundamental concepts of a CRM system, its purpose, and the pivotal role of an administrator in the Salesforce lifecycle. You'll also explore the basic structures of the entire Salesforce system and navigate confidently through the intricacies of security, automation, and reporting in the Sales/Service Cloud.By the end of this book, you'll have the confidence you need to navigate Salesforce's backend seamlessly, implement configuration changes effortlessly, and communicate fluently in Salesforce terminology.What You Will Learn: Discover strategies to stay up-to-date with Salesforce releases Integrate Salesforce products seamlessly to meet diverse business needs Explore Sales and Service Cloud and its transformative impact on sales and customer support operations Master opportunity management for successful deal closures and pipeline forecasting Understand Salesforce Orgs, managing users, settings, and customization Explore data import and export methods and data mapping Discover best practices, mock tests, and valuable tips and tricks to prepare for Salesforce certificationWho this book is for:This book is for aspiring Salesforce administrators and consultants looking to build a solid foundation in Salesforce products, system setup, and customization as well as advance their careers within the Salesforce ecosystem. It's also a great resource for those preparing to take the Salesforce ADM 201 certification exam, as it serves as an excellent supplement to the existing learning materials.Table of Contents Introduction and Getting Started with Salesforce Salesforce Architecture Data Management Lightning Experience Objects in Salesforce Objects User Management and Security Automation Tools Reports and Dashboards AppExchange and Custom Applications Service Cloud Sales Cloud Salesforce Administrator Exam Preparation Continuing Education and Career Development.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Be part of the future of Web3, decoding blockchain data to build trust in the next-generation internetKey Features:Build a deep understanding of the fundamentals of blockchain analyticsExtract actionable business insights by modeling blockchain dataShowcase your work and gain valuable experience to seize opportunities in the Web3 ecosystemPurchase of the print or Kindle book includes a free PDF Elektronisches BuchBook Description:Data is the new oil and Web3 is generating it at an unprecedented rate. Complete with practical examples, detailed explanations, and ideas for portfolio development, this comprehensive book serves as a step-by-step guide covering the industry best practices, tools, and resources needed to easily navigate the world of data in Web3.You'll begin by acquiring a solid understanding of key blockchain concepts and the fundamental data science tools essential for Web3 projects. The subsequent chapters will help you explore the main data sources that can help address industry challenges, decode smart contracts, and build DeFi- and NFT-specific datasets. You'll then tackle the complexities of feature engineering specific to blockchain data and familiarize yourself with diverse machine learning use cases that leverage Web3 data.The book includes interviews with industry leaders providing insights into their professional journeys to drive innovation in the Web 3 environment. Equipped with experience in handling crypto data, you'll be able to demonstrate your skills in job interviews, academic pursuits, or when engaging potential clients.By the end of this book, you'll have the essential tools to undertake end-to-end data science projects utilizing blockchain data, empowering you to help shape the next-generation internet.What You Will Learn:Understand the core components of blockchain transactions and blocksIdentify reliable sources of on-chain and off-chain data to build robust datasetsUnderstand key Web3 business questions and how data science can offer solutionsBuild your skills to create and query NFT- and DeFi-specific datasetsImplement a machine learning toolbox with real-world use cases in the Web3 spaceWho this book is for:This book is designed for data professionals-data analysts, data scientists, or data engineers- and business professionals, aiming to acquire the skills for extracting data from the Web3 ecosystem, as it demonstrates how to effectively leverage data tools for in-depth analysis of blockchain transactional data. If you seek hands-on experience, you'll find value in the shared repository, enabling you to experiment with the provided solutions. While not mandatory, a basic understanding of statistics, machine learning, and Python will enhance your learning experience.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Master AI image generation by leveraging GenAI tools and techniques such as diffusers, LoRA, textual inversion, ControlNet, and prompt design in this hands-on guide, with key images printed in colorKey Features Master the art of generating stunning AI artwork with the help of expert guidance and ready-to-run Python code Get instant access to emerging extensions and open-source models Leverage the power of community-shared models and LoRA to produce high-quality images that captivate audiences Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook DescriptionStable Diffusion is a game-changing AI tool that enables you to create stunning images with code. The author, a seasoned Microsoft applied data scientist and contributor to the Hugging Face Diffusers library, leverages his 15+ years of experience to help you master Stable Diffusion by understanding the underlying concepts and techniques.You'll be introduced to Stable Diffusion, grasp the theory behind diffusion models, set up your environment, and generate your first image using diffusers. You'll optimize performance, leverage custom models, and integrate community-shared resources like LoRAs, textual inversion, and ControlNet to enhance your creations. Covering techniques such as face restoration, image upscaling, and image restoration, you'll focus on unlocking prompt limitations, scheduled prompt parsing, and weighted prompts to create a fully customized and industry-level Stable Diffusion app. This book also looks into real-world applications in medical imaging, remote sensing, and photo enhancement. Finally, you'll gain insights into extracting generation data, ensuring data persistence, and leveraging AI models like BLIP for image description extraction.By the end of this book, you'll be able to use Python to generate and edit images and leverage solutions to build Stable Diffusion apps for your business and users.What you will learn Explore core concepts and applications of Stable Diffusion and set up your environment for success Refine performance, manage VRAM usage, and leverage community-driven resources like LoRAs and textual inversion Harness the power of ControlNet, IP-Adapter, and other methodologies to generate images with unprecedented control and quality Explore developments in Stable Diffusion such as video generation using AnimateDiff Write effective prompts and leverage LLMs to automate the process Discover how to train a Stable Diffusion LoRA from scratchWho this book is forIf you're looking to gain control over AI image generation, particularly through the diffusion model, this book is for you. Moreover, data scientists, ML engineers, researchers, and Python application developers seeking to create AI image generation applications based on the Stable Diffusion framework can benefit from the insights provided in the book.Table of Contents Introducing Stable Diffusion Setting Up the Environment for Stable Diffusion Generating Images Using Stable Diffusion Understanding the Theory Behind Diffusion Models Understanding How Stable Diffusion Works Using Stable Diffusion Models Optimizing Performance and VRAM Usage Using Community-Shared LoRAs Using Textual Inversion Overcoming 77-Token Limitations and Enabling Prompt Weighting Image Restore and Super-Resolution Scheduled Prompt Parsing Generating Images with ControlNet Generating Video Using Stable Diffusion Generating Image Descriptions using BLIP-2 and LLaVA Exploring Stable Diffusion XL(N.B. Please use the Read Sample option to see further chapters).

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Discover what the metaverse can do for your business by exploring AR and VR, core support technologies, and use cases, while developing an understanding of its benefits, dangers, and futureKey FeaturesUnderstand the metaverse and learn how augmented reality and virtual reality are integral to itGet a solid understanding of core metaverse technologiesBecome a metaverse business thought leader by learning from real-world use casesPurchase of the print or Kindle book includes a free PDF Elektronisches BuchBook Description'The metaverse' has become a widely known term within a very short time span. The Immersive Metaverse Playbook for Business Leaders explicitly explains what it really refers to and shows you how to plot your business road map using the metaverse.This book helps you understand the concept of the metaverse, along with the implementation of generative AI in it. You'll not only get to grips with the underlying concepts, but also take a closer look at key technologies that power the metaverse, enabling you to plan your business road map. The chapters include use cases on social interaction, work, entertainment, art, and shopping to help you make better decisions when it comes to metaverse product and service development. You'll also explore the overall societal benefits and dangers related to issues such as privacy encroachment, technology addiction, and sluggishness. The concluding chapters discuss the future of AR and VR roles in the metaverse and the metaverse as a whole to enable you to make long-term business plans.By the end of this book, you'll be able to successfully invest, build, and market metaverse products and services that set you apart as a progressive technology leader.What you will learnGet to grips with the concept of the metaverse, its origin, and its present stateUnderstand how AR and VR strategically fit into the metaverseDelve into core technologies that power the metaverseDig into use cases that enable finer strategic decision-makingUnderstand the benefits and possible dangers of the metaversePlan further ahead by understanding the future of the metaverseWho this book is forIf you are a C-suite technology and business executive, this book is for you. Investors, entrepreneurs, and other tech professionals will also find it beneficial. This book does not require any previous understanding of the metaverse or immersive technologies.Table of ContentsThe What and Why of the MetaverseAugmented Reality Status QuoWhere Is Virtual Reality Heading The Value of Using 3D Visuals to InteractUnderstanding Perception TechnologiesThe Different Types of Computing TechnologiesWhere Are APIs NeededMaking and Using 3D Models and Integrating 2D ContentUnderstanding User Experience Design and User InterfaceNew Ways of Social InteractionVirtual and Onsite Work3D and 2D Content Forms and CreationRetail ExperiencesBenefits and Possible Dangers ReframedFuture Vision.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Elevate your expertise and gain holistic insights into cloud technology with a focus on smooth transition from on-premises to the cloudKey FeaturesAnalyze cloud architecture in depth, including different layers, components, and design principlesExplore various types of cloud services from AWS, Microsoft Azure, Google Cloud, Oracle Cloud Infrastructure, and moreImplement best practices and understand the use of various cloud deployment toolsPurchase of the print or Kindle book includes a free PDF Elektronisches BuchBook DescriptionAs the need for digital transformation and remote work surges, so does the demand for cloud computing. However, the complexity of cloud architecture and the abundance of vendors and tools can be overwhelming for businesses. This book addresses the need for skilled professionals capable of designing, building, and managing scalable and resilient cloud systems to navigate the complex landscape of cloud computing through practical tips and strategies.This comprehensive cloud computing guide offers expertise and best practices for evaluating different cloud vendors and tools. Once you've gained a thorough understanding of cloud computing basics, you'll delve deeper into cloud architecture, its design, and implementation. Armed with this expert insight, businesses can avoid costly mistakes, ensure that their cloud systems are secure and compliant, and build cloud systems that can adapt and grow with the business.By the end of this book, you'll be proficient in leveraging different vendors and tools to build robust and secure cloud systems to achieve specific goals and meet business requirements.What you will learnGet to grips with the core concepts of cloud architecture and cost optimizationUnderstand the different cloud deployment and service modelsExplore various cloud-related tools and technologiesDiscover cloud migration strategies and best practicesFind out who the major cloud vendors are and what they offerAnalyze the impact and future of cloud technologyWho this book is forThe book is for anyone interested in understanding cloud technology, including business leaders and IT professionals seeking insights into the benefits, challenges, and best practices of cloud computing. Those who are just starting to explore cloud technology, as well as those who are already using cloud technology but want to deepen their understanding and optimize usage will find this resource especially useful.Table of ContentsFundamentals of Cloud ArchitectureComponents of a Cloud InfrastructureComputeStorageNetworkingSecurity and Compliance 1: Cloud PerspectiveSecurity and Compliance 2: Cloud PerspectiveDatabase Services - Part 2Database Services - Part 1Monitoring and ManagementBackup and Restore MechanismsBackup and Restore Procedures.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Build and customize powerful Drupal modules to extend your website's functionalities with this comprehensive guidePurchase of the print or Kindle book includes a free PDF Elektronisches BuchKey Features:Explore the new features and improved capabilities of Drupal 10 coreDiscover Drupal APIs and elevate your proficiency by leveraging PHP codingImplement efficient data management and data security by creating dedicated modulesBook Description:Embark on a journey of Drupal module development with the latest edition of this must-have guide written by Daniel Sipos - a Drupal community member! This fourth edition is meticulously revised to cover the latest Drupal 10 enhancements that will help you build custom Drupal modules with an understanding of code deprecations, changing architecture, data modeling, multilingual ecosystem, and so on.You'll begin with understanding the core components of Drupal 10 architecture, discovering its subsystems and unlocking the secrets of creating your first Drupal module. Further, you'll delve into Drupal logging and mailing systems, creating theme hooks, and rendering a layout. As you progress, you'll work with different types of data storage, custom entities, field types, and work with Database APIs for lower-level database queries. You'll learn to reap the power of JavaScript and ensure that your code works seamlessly on multilingual sites. You'll also learn to create custom views, automate tests for your functionalities, and write secure code for your Drupal apps.By the end of this book, you'll have gained confidence in developing complex modules that can solve even the most complex business problems and might even become a valuable contributor to the Drupal community!What You Will Learn:Gain insight into the Drupal 10 architecture for developing advanced modulesMaster different Drupal 10 subsystems and APIsOptimize data management by modeling, storing, manipulating, and processing data efficientlyPresent data and content cleanly and securely using the theme systemUnderstand helpful functions while dealing with managed and unmanaged filesEnsure your Drupal app has business logic integrity with automated testingImplement secure coding in DrupalWho this book is for:If you are a Drupal developer looking to create custom modules for Drupal sites and cater business needs, this book is the one-stop solution for you. Drupal 10 Module Development will be helpful for Drupal site builders and PHP developers with basic object-oriented programming skills, looking to upskill themselves in Drupal module development. A basic working experience with Symfony will be helpful but not mandatory.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A complete guide to securing the core components of cloud services, with practical, real-world examples using the built-in security features of Azure, AWS, and GCPKey Features: Discover hands-on techniques for implementing robust cloud security implementation Protect your data and cloud infrastructure with tailored security strategies for your business Learn how to implement DevSecOps, apply encryption, detect threats and misconfigurations, and maintain cloud compliance Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook Description:Securing cloud resources is no easy task-each provider has its unique set of tools, processes, and challenges, demanding specialized expertise. This book cuts through the complexity, delivering practical guidance on embedding security best practices across the core infrastructure components of AWS, Azure, and GCP. It equips information security professionals and cloud engineers with the skills to identify risks and implement robust security controls throughout the design, deployment, and maintenance of public cloud environments.Starting with the shared responsibility model, cloud service models, and deployment models, this book helps you get to grips with fundamental concepts such as compute, storage, networking, identity management, and encryption. You'll then explore common threats and compliance requirements for cloud environments. As you progress, you'll implement security strategies across deployments ranging from small-scale environments to enterprise-grade production systems, including hybrid and multi-cloud setups.This edition expands on emerging topics like GenAI service security and DevSecOps, with hands-on examples leveraging built-in security features of AWS, Azure, and GCP.By the end of this book, you'll confidently secure any cloud environment with a comprehensive understanding of cloud security principles.What You Will Learn: Grasp the fundamental concepts of cloud services Secure compute, storage, and networking services across cloud platforms Get to grips with identity management in the cloud Secure Generative AI services in the cloud Audit and monitor cloud services with a security-focused approach Identify common threats and implement encryption to safeguard cloud services Implement security in hybrid and multi-cloud environments Design and maintain scalable security for large-scale cloud deploymentsWho this book is for:This book is for IT professionals and information security personnel taking their first steps in the public cloud or migrating existing environments to the cloud. Cloud engineers, cloud architects, and cloud security professionals responsible for maintaining production environments in the cloud will also benefit from this book. Prior experience with deploying virtual machines, using storage services, and networking will help you to get the most out of this book.Table of Contents Introduction to Cloud Security Securing Compute Services - Virtual Machines Securing Compute Services - Containers and Kubernetes Securing Compute Services - Serverless and FaaS Securing Storage Services Securing Networking Services - Part 1 Securing Networking Services - Part 2 Securing Generative AI Services Effective Strategies for Implementing IAM Solutions Auditing and Threat Management in Cloud Environments Applying Encryption in Cloud Services Understanding Common Security Threats to Cloud Services Engaging with Cloud Providers Managing Hybrid Clouds Managing Multi-Cloud Environments Implementing DevSecOps Security in Large-Scale Environments.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Explore techniques to design and implement low latency applications and study the impact of latency reductionPurchase of the print or Kindle book includes a free PDF Elektronisches BuchKey Features:Understand the impact application performance latencies have on different business use casesDevelop a deep understanding of C++ features for low latency applications through real-world examples and performance dataLearn how to build all the components of a C++ electronic trading system from scratchBook Description:C++ is meticulously designed with efficiency, performance, and flexibility as its core objectives. However, real-time low latency applications demand a distinct set of requirements, particularly in terms of performance latencies.With this book, you'll gain insights into the performance requirements for low latency applications and the C++ features critical to achieving the required performance latencies. You'll also solidify your understanding of the C++ principles and techniques as you build a low latency system in C++ from scratch.You'll understand the similarities between such applications, recognize the impact of performance latencies on business, and grasp the reasons behind the extensive efforts invested in minimizing latencies. Using a step-by-step approach, you'll embark on a low latency app development journey by building an entire electronic trading system, encompassing a matching engine, market data handlers, order gateways, and trading algorithms, all in C++. Additionally, you'll get to grips with measuring and optimizing the performance of your trading system.By the end of this book, you'll have a comprehensive understanding of how to design and build low latency applications in C++ from the ground up, while effectively minimizing performance latencies.What You Will Learn:Gain insights into the nature of low latency applications across various industriesUnderstand how to design and implement low latency applicationsExplore C++ design paradigms and features for low latency developmentDiscover which C++ features are best avoided in low latency developmentImplement best practices and C++ features for low latencyMeasure performance and improve latencies in the trading systemWho this book is for:This book is for C++ developers who want to gain expertise in low latency applications and effective design and development strategies. C++ software engineers looking to apply their knowledge to low latency trading systems such as HFT will find this book useful to understand which C++ features matter and which ones to avoid. Quantitative researchers in the trading industry eager to delve into the intricacies of low latency implementation will also benefit from this book. Familiarity with Linux and the C++ programming language is a prerequisite for this book.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Become a certified Snowflake professional with this ultimate SnowPro Core Certification Study Guide. Packed with exam-focused insights, real-world scenarios, and expert tips to help you pass on your first attempt.Key Features: Covers every objective in the SnowPro Core exam syllabus with in-depth explanations Avoid common mistakes with proven strategies, exam-style practice questions and real-world scenarios Offers hands-on exercises to build practical Snowflake skills and pass the exam Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook Description:Through this hands-on Snowflake certification book with real-world examples, you'll quickly learn fundamental concepts and perform required labs to develop an understanding of Snowflake architecture and data security. As you progress, you will dive into critical domains of the exam, including SQL for Snowflake certification, data governance, access control, and transformations.Alongside top resources for SnowPro Core exam preparation, you will progress from the basics of the Snowflake data pipeline and ETL processes through best practices for Snowflake query optimization to onboarding users with the right access controls to ensure your data stays safe and secure. You'll also learn how to share data outside of Snowflake.Combined with the Snowflake hands-on projects and lab exercises, you'll be ready to take the SnowPro Core exam and pass it the first time. You'll gain all the skills to use Snowflake to fulfill your organization's data needs.The book is written by Jatin Verma, a certified SnowPro Core expert, and includes practical exam strategies, practice tests, and flashcards to enhance your preparation. Whether you're a data engineer, architect, analyst, or cloud professional, this guide will ensure you're fully prepared for Snowflake certification success.What You Will Learn: Implement efficient data loading and unloading Build robust data pipelines using Snowflake objects Configure access control policies and user onboarding Securely share data across Snowflake and external consumers Implement data governance policies in Snowflake Optimize Snowflake performance using best practices Use Snowflake Query Profile for query performance tuning Test yourself on self-assessment questions, tips, and mock examsWho this book is for:Snowflake skills are a must-have for any modern data engineer. This book is ideal for data engineers, database professionals, cloud engineers, and architects working with Snowflake, data analysts, and business intelligence experts. With this book, you'll not only be ready to pass the SnowPro Core Certification exam on the first attempt but also develop all the skills needed to become an indispensable team member at any organization. To get the most out of this guide, you should already have a good understanding of databases, data warehouses, SQL, DDL, DML, and DCL.Table of Contents Why Snowflake Snowflake Data Cloud Features and Architecture Managing Account Access and Security Snowflake Virtual Warehouse Improving Query Performance and Concepts Loading and Unloading Data Data Transformation and function Working with Structured, Semi-structured and Unstructured Data Implementing Data Protection and Replication Sharing Data with Snowflake Objects Snowflake Exam Pattern & Process.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Transition from the traditional Rails MVC trio to an abstraction model and evolve your application codebase with synchronized components, boosting flexibility and maintainabilityKey Features: Understand Rails' architectural patterns along with its advantages and disadvantages Organize business logic in Rails apps when the default approach is insufficient Introduce new abstractions to address design problems Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook Description:The Ruby on Rails framework boosts productivity by leveraging the convention-over-configuration principle and model-view-controller (MVC) pattern, enabling developers to build features efficiently. This initial simplicity often leads to complexity, making a well-structured codebase difficult to maintain. Written by a seasoned software engineer and award-winning contributor to many other open-source projects, including Ruby on Rails and Ruby, this book will help you keep your code maintainable while working on a Rails app.You'll get to grips with the framework's capabilities and principles to harness the full potential of Rails, and tackle many common design problems by discovering useful patterns and abstraction layers. By implementing abstraction and dividing the application into manageable modules, you'll be able to concentrate on specific parts of the app development without getting overwhelmed by the entire codebase. This also encourages code reuse, simplifying the process of adding new features and enhancing the application's capabilities. Additionally, you'll explore further steps in scaling Rails codebase, such as service extractions.By the end of this book, you'll become a code design specialist with a deep understanding of the Rails framework principles.What You Will Learn: Get to grips with Rails' core components and its request/response cycle See how Rails' convention-over-configuration principle affects development Explore patterns for software flexibility, extensibility, and testability in Rails Identify and address Rails' anti-patterns for cleaner code Implement design patterns for handling bloated models and messy views Expand from mailers to multi-channel notification deliveries Introduce different authorization models and layers to your codebase Take a class-based approach to configuration in RailsWho this book is for:This book is for Rails application developers looking to efficiently manage the growing complexity of their projects. Whether you've recently launched your first Rails minimum viable product or are struggling to progress with a sizable monolithic application, this book is here to help. A deep understanding of core Rails principles is a must. Prior experience in building web apps using the Rails framework will help you understand and apply the concepts in the book in a better way.Table of Contents Rails as a Web Application Framework Active Models and Records More Adapters, Less Implementations Rails Anti-Patterns When Rails Abstractions Are Not Enough Data Layer Abstractions Handling User Input outside of Models Pulling Out the Representation Layer Authorization Models and Layers Crafting the Notifications Layer Better Abstractions for HTML Views Configuration as a First-Class Application Citizen Cross-Layers and Off-Layers.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Master the art of mathematical modeling through practical examples, use cases, and machine learning techniquesKey Features:Gain a profound understanding of various mathematical models that can be integrated with machine learningLearn how to implement optimization algorithms to tune machine learning modelsBuild optimal solutions for practical use casesPurchase of the print or Kindle book includes a free PDF Elektronisches BuchBook Description:Mathematical modeling is the art of transforming a business problem into a well-defined mathematical formulation. Its emphasis on interpretability is particularly crucial when deploying a model to support high-stake decisions in sensitive sectors like pharmaceuticals and healthcare.Through this book, you'll gain a firm grasp of the foundational mathematics underpinning various machine learning algorithms. Equipped with this knowledge, you can modify algorithms to suit your business problem. Starting with the basic theory and concepts of mathematical modeling, you'll explore an array of mathematical tools that will empower you to extract insights and understand the data better, which in turn will aid in making optimal, data-driven decisions. The book allows you to explore mathematical optimization and its wide range of applications, and concludes by highlighting the synergetic value derived from blending mathematical models with machine learning.Ultimately, you'll be able to apply everything you've learned to choose the most fitting methodologies for the business problems you encounter.What You Will Learn:Understand core concepts of mathematical models and their relevance in solving problemsExplore various approaches to modeling and learning using PythonWork with tested mathematical tools to gather meaningful insightsBlend mathematical modeling with machine learning to find optimal solutions to business problemsOptimize ML models built with business data, apply them to understand their impact on the business, and address critical questionsApply mathematical optimization for data-scarce problems where the objective and constraints are knownWho this book is for:If you are a budding data scientist seeking to augment your journey with mathematics, this book is for you. Researchers and R&D scientists will also be able to harness the concepts covered to their full potential. To make the best use of this book, a background in linear algebra, differential equations, basics of statistics, data types, data structures, and numerical algorithms will be useful.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Design, build, and secure scalable machine learning (ML) systems to solve real-world business problems with Python and AWSPurchase of the print or Kindle book includes a free PDF Elektronisches BuchKey FeaturesGo in-depth into the ML lifecycle, from ideation and data management to deployment and scalingApply risk management techniques in the ML lifecycle and design architectural patterns for various ML platforms and solutionsUnderstand the generative AI lifecycle, its core technologies, and implementation risksBook DescriptionDavid Ping, Head of GenAI and ML Solution Architecture for global industries at AWS, provides expert insights and practical examples to help you become a proficient ML solutions architect, linking technical architecture to business-related skills.You'll learn about ML algorithms, cloud infrastructure, system design, MLOps , and how to apply ML to solve real-world business problems. David explains the generative AI project lifecycle and examines Retrieval Augmented Generation (RAG), an effective architecture pattern for generative AI applications. You'll also learn about open-source technologies, such as Kubernetes/Kubeflow, for building a data science environment and ML pipelines before building an enterprise ML architecture using AWS. As well as ML risk management and the different stages of AI/ML adoption, the biggest new addition to the handbook is the deep exploration of generative AI.By the end of this book , you'll have gained a comprehensive understanding of AI/ML across all key aspects, including business use cases, data science, real-world solution architecture, risk management, and governance. You'll possess the skills to design and construct ML solutions that effectively cater to common use cases and follow established ML architecture patterns, enabling you to excel as a true professional in the field.What you will learnApply ML methodologies to solve business problems across industriesDesign a practical enterprise ML platform architectureGain an understanding of AI risk management frameworks and techniquesBuild an end-to-end data management architecture using AWSTrain large-scale ML models and optimize model inference latencyCreate a business application using artificial intelligence services and custom modelsDive into generative AI with use cases, architecture patterns, and RAGWho this book is forThis book is for solutions architects working on ML projects, ML engineers transitioning to ML solution architect roles, and MLOps engineers. Additionally, data scientists and analysts who want to enhance their practical knowledge of ML systems engineering, as well as AI/ML product managers and risk officers who want to gain an understanding of ML solutions and AI risk management, will also find this book useful. A basic knowledge of Python, AWS, linear algebra, probability, and cloud infrastructure is required before you get started with this handbook.Table of ContentsNavigating the ML Lifecycle with ML Solutions ArchitectureExploring ML Business Use CasesExploring ML AlgorithmsData Management for MLExploring Open-Source ML LibrariesKubernetes Container Orchestration Infrastructure ManagementOpen-Source ML PlatformsBuilding a Data Science Environment using AWS ML ServicesDesigning an Enterprise ML Architecture with AWS ML ServicesAdvanced ML EngineeringBuilding ML Solutions with AWS AI ServicesAI Risk ManagementBias, Explainability, Privacy, and Adversarial Attacks(N.B. Please use the Read Sample option to see further chapters).