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Cloud Data Science Mastery: Unlocking Snowflake's Power with Spark, R, Qubole and Python
Vendeur : California Books, Miami, FL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur I-9798349690655
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EUR 80,05
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
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Cloud Data Science Mastery (Hardcover)
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : new. Hardcover. Cloud Data Science Mastery: Unlocking Snowflake's Power with Spark, R, Qubole, and PythonCloud Data Science Mastery is an advanced, comprehensive guide designed to transform the way readers understand and apply cloud-based data science. It explores the integration of powerful tools-Snowflake, Spark, R, Qubole, and Python-to build intelligent, scalable, and secure data-driven solutions.This book takes readers on a complete journey through modern cloud data science, from foundational principles to cutting-edge AI applications. It begins by unpacking the fundamentals of cloud computing and Snowflake's architecture-covering its unique separation of storage and compute, virtual warehouses, elastic scaling, and secure data sharing. Readers learn how to set up Snowflake environments, manage data pipelines, and optimize performance for high-demand analytics.In the next stage, Cloud Data Science Mastery delves into advanced analytics and machine learning. It demonstrates how to integrate Apache Spark and Qubole with Snowflake to execute large-scale data transformations, perform distributed analytics, and enable real-time insights. Using R and Python, the book guides readers through model training, feature engineering, and deployment with Snowpark ML and Model Registry-empowering them to build predictive and generative AI models within Snowflake's unified ecosystem.The book also unveils the use of Snowflake Cortex and Streamlit for building AI-driven applications, predictive models, and interactive dashboards. It provides detailed performance optimization strategies, including query tuning, resource management, and cost-efficient scaling. Additionally, readers gain practical mastery of data security, encryption, auditing, and compliance with international standards such as GDPR, HIPAA, and SOC 2.Each chapter balances theory with practical, hands-on examples and real-world case studies from industries like finance, healthcare, retail, and energy. Through these examples, readers see how cloud-based data science revolutionizes operations-enabling fraud detection, predictive healthcare diagnostics, demand forecasting, and precision agriculture.Cloud Data Science Mastery stands out for its clarity, depth, and actionable insights. It is written for data scientists, analysts, engineers, and students eager to leverage the full power of the cloud for innovation and competitive advantage.By the end, readers will have gained: Proficiency in Snowflake's cloud-native data architecture and how to integrate it with complementary tools.Mastery of data integration and transformation techniques using Spark and Qubole.Advanced skills in cloud-based machine learning and generative AI with R, Python, and Snowpark ML.Expertise in optimizing performance, scalability, and cost efficiency in large data environments.A strong command of data security, privacy, and compliance frameworks essential for enterprise-level applications.With its combination of conceptual precision, practical exercises, and visionary insight, Cloud Data Science Mastery is an indispensable resource for anyone seeking to excel in the rapidly evolving field of cloud computing and data science. It not only equips readers with the technical skills to thrive but also provides the strategic understanding to drive innovation through data intelligence in the modern digital era. A practical guide to mastering cloud-based data science using Snowflake, Spark, R, Qubole, and Python. Learn architecture, data integration, machine learning, optimization, and security to build scalable, intelligent cloud data solutions. This item is pr Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9798349690655
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EUR 86,77
Expédition à EUR 30,92
Expédition depuis Australie vers Etats-Unis
Expédition depuis Australie vers Etats-Unis
Quantité disponible : 1 disponible(s)
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Cloud Data Science Mastery (Hardcover)
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : new. Hardcover. Cloud Data Science Mastery: Unlocking Snowflake's Power with Spark, R, Qubole, and PythonCloud Data Science Mastery is an advanced, comprehensive guide designed to transform the way readers understand and apply cloud-based data science. It explores the integration of powerful tools-Snowflake, Spark, R, Qubole, and Python-to build intelligent, scalable, and secure data-driven solutions.This book takes readers on a complete journey through modern cloud data science, from foundational principles to cutting-edge AI applications. It begins by unpacking the fundamentals of cloud computing and Snowflake's architecture-covering its unique separation of storage and compute, virtual warehouses, elastic scaling, and secure data sharing. Readers learn how to set up Snowflake environments, manage data pipelines, and optimize performance for high-demand analytics.In the next stage, Cloud Data Science Mastery delves into advanced analytics and machine learning. It demonstrates how to integrate Apache Spark and Qubole with Snowflake to execute large-scale data transformations, perform distributed analytics, and enable real-time insights. Using R and Python, the book guides readers through model training, feature engineering, and deployment with Snowpark ML and Model Registry-empowering them to build predictive and generative AI models within Snowflake's unified ecosystem.The book also unveils the use of Snowflake Cortex and Streamlit for building AI-driven applications, predictive models, and interactive dashboards. It provides detailed performance optimization strategies, including query tuning, resource management, and cost-efficient scaling. Additionally, readers gain practical mastery of data security, encryption, auditing, and compliance with international standards such as GDPR, HIPAA, and SOC 2.Each chapter balances theory with practical, hands-on examples and real-world case studies from industries like finance, healthcare, retail, and energy. Through these examples, readers see how cloud-based data science revolutionizes operations-enabling fraud detection, predictive healthcare diagnostics, demand forecasting, and precision agriculture.Cloud Data Science Mastery stands out for its clarity, depth, and actionable insights. It is written for data scientists, analysts, engineers, and students eager to leverage the full power of the cloud for innovation and competitive advantage.By the end, readers will have gained: Proficiency in Snowflake's cloud-native data architecture and how to integrate it with complementary tools.Mastery of data integration and transformation techniques using Spark and Qubole.Advanced skills in cloud-based machine learning and generative AI with R, Python, and Snowpark ML.Expertise in optimizing performance, scalability, and cost efficiency in large data environments.A strong command of data security, privacy, and compliance frameworks essential for enterprise-level applications.With its combination of conceptual precision, practical exercises, and visionary insight, Cloud Data Science Mastery is an indispensable resource for anyone seeking to excel in the rapidly evolving field of cloud computing and data science. It not only equips readers with the technical skills to thrive but also provides the strategic understanding to drive innovation through data intelligence in the modern digital era. A practical guide to mastering cloud-based data science using Snowflake, Spark, R, Qubole, and Python. Learn architecture, data integration, machine learning, optimization, and security to build scalable, intelligent cloud data solutions. This item is pr Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798349690655
Acheter neuf
EUR 88,52
Expédition à EUR 42,69
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : 1 disponible(s)
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CLOUD DATA SCIENCE MASTERY : UNLOCKING SNOWFLAKE'S POWER WITH SPARK, R, QUBOLE AND PYTHON
impression à la demandeVendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Cloud Data Science Mastery: Unlocking Snowflake's Power with Spark, R, Qubole, and PythonCloud Data Science Mastery is an advanced, comprehensive guide designed to transform the way readers understand and apply cloud-based data science. It explores the integration of powerful tools-Snowflake, Spark, R, Qubole, and Python-to build intelligent, scalable, and secure data-driven solutions.This book takes readers on a complete journey through modern cloud data science, from foundational principles to cutting-edge AI applications. It begins by unpacking the fundamentals of cloud computing and Snowflake's architecture-covering its unique separation of storage and compute, virtual warehouses, elastic scaling, and secure data sharing. Readers learn how to set up Snowflake environments, manage data pipelines, and optimize performance for high-demand analytics.In the next stage, Cloud Data Science Mastery delves into advanced analytics and machine learning. It demonstrates how to integrate Apache Spark and Qubole with Snowflake to execute large-scale data transformations, perform distributed analytics, and enable real-time insights. Using R and Python, the book guides readers through model training, feature engineering, and deployment with Snowpark ML and Model Registry-empowering them to build predictive and generative AI models within Snowflake's unified ecosystem.The book also unveils the use of Snowflake Cortex and Streamlit for building AI-driven applications, predictive models, and interactive dashboards. It provides detailed performance optimization strategies, including query tuning, resource management, and cost-efficient scaling. Additionally, readers gain practical mastery of data security, encryption, auditing, and compliance with international standards such as GDPR, HIPAA, and SOC 2.Each chapter balances theory with practical, hands-on examples and real-world case studies from industries like finance, healthcare, retail, and energy. Through these examples, readers see how cloud-based data science revolutionizes operations-enabling fraud detection, predictive healthcare diagnostics, demand forecasting, and precision agriculture.Cloud Data Science Mastery stands out for its clarity, depth, and actionable insights. It is written for data scientists, analysts, engineers, and students eager to leverage the full power of the cloud for innovation and competitive advantage.By the end, readers will have gained:Proficiency in Snowflake's cloud-native data architecture and how to integrate it with complementary tools.Mastery of data integration and transformation techniques using Spark and Qubole.Advanced skills in cloud-based machine learning and generative AI with R, Python, and Snowpark ML.Expertise in optimizing performance, scalability, and cost efficiency in large data environments.A strong command of data security, privacy, and compliance frameworks essential for enterprise-level applications.With its combination of conceptual precision, practical exercises, and visionary insight, Cloud Data Science Mastery is an indispensable resource for anyone seeking to excel in the rapidly evolving field of cloud computing and data science. It not only equips readers with the technical skills to thrive but also provides the strategic understanding to drive innovation through data intelligence in the modern digital era. N° de réf. du vendeur 9798349690655
Acheter neuf
EUR 119
Expédition à EUR 66,66
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)
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CLOUD DATA SCIENCE MASTERY | UNLOCKING SNOWFLAKE'S POWER WITH SPARK, R, QUBOLE AND PYTHON
impression à la demandeVendeur : preigu, Osnabrück, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. CLOUD DATA SCIENCE MASTERY | UNLOCKING SNOWFLAKE'S POWER WITH SPARK, R, QUBOLE AND PYTHON | Timothy Ugbaja | Buch | Englisch | 2025 | Tilaverse Inc. | EAN 9798349690655 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 134326274
Acheter neuf
EUR 127,80
Expédition à EUR 70
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 5 disponible(s)