Apply Data Fabric solutions to automate Data Integration, Data Sharing, and Data Protection across disparate data sources using different data management styles.
Purchase of the print or Kindle book includes a free PDF eBook
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.
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Sonia Mezzetta is a senior certified IBM architect working as a Data Fabric Program Director. She has an eye for detail and enjoys problem solving data pain points. She started her data management career in IBM as a data architect specializing in enterprise architectures. She is an expert in Data Fabric, DataOps, Data Governance, and Data Analytics. With over 20 years of experience, she has designed and architected several Enterprise data solutions. She has authored numerous data management white papers and has a master’s and bachelor’s degree in Computer Science. Sonia is originally from New York City, and currently resides in the area of Westchester County, New York.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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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. N° de réf. du vendeur 9781804615225
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