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Modern Data Engineering and AI: From Data Pipelines to Intelligent Analytics is a comprehensive guide to building intelligent, scalable, and future-ready data ecosystems. Covering the complete journey from modern data engineering fundamentals to AI-driven analytics, this book explains how organizations collect, process, govern, and transform data into actionable business intelligence. Readers will explore modern architectures, cloud-native platforms, ETL/ELT workflows, distributed processing, data governance, security, and real-time analytics, while gaining practical insights into machine learning, AI-powered observability, intelligent automation, MLOps, and decision intelligence. The book also examines emerging innovations, including autonomous data platforms, Generative AI, and responsible AI practices that are reshaping enterprise data strategies. Designed for data engineers, data architects, AI practitioners, business analysts, researchers, and technology leaders, this resource combines conceptual foundations with industry best practices, enabling readers to design robust data pipelines and leverage AI to drive innovation, operational excellence, and informed decision-making in the digital era.
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Modern Data Engineering and AI (Hardcover)
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Hardcover. Condizione: new. Hardcover. Modern Data Engineering and AI: From Data Pipelines to Intelligent Analytics is a comprehensive guide to building intelligent, scalable, and future-ready data ecosystems. Covering the complete journey from modern data engineering fundamentals to AI-driven analytics, this book explains how organizations collect, process, govern, and transform data into actionable business intelligence. Readers will explore modern architectures, cloud-native platforms, ETL/ELT workflows, distributed processing, data governance, security, and real-time analytics, while gaining practical insights into machine learning, AI-powered observability, intelligent automation, MLOps, and decision intelligence. The book also examines emerging innovations, including autonomous data platforms, Generative AI, and responsible AI practices that are reshaping enterprise data strategies. Designed for data engineers, data architects, AI practitioners, business analysts, researchers, and technology leaders, this resource combines conceptual foundations with industry best practices, enabling readers to design robust data pipelines and leverage AI to drive innovation, operational excellence, and informed decision-making in the digital era. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798906734389
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Modern Data Engineering and AI
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HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L1-9798906734389
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Modern Data Engineering and AI: From Data Pipelines to Intelligent Analytics
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Modern Data Engineering and AI
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Modern Data Engineering and AI (Hardcover)
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Hardcover. Condizione: new. Hardcover. Modern Data Engineering and AI: From Data Pipelines to Intelligent Analytics is a comprehensive guide to building intelligent, scalable, and future-ready data ecosystems. Covering the complete journey from modern data engineering fundamentals to AI-driven analytics, this book explains how organizations collect, process, govern, and transform data into actionable business intelligence. Readers will explore modern architectures, cloud-native platforms, ETL/ELT workflows, distributed processing, data governance, security, and real-time analytics, while gaining practical insights into machine learning, AI-powered observability, intelligent automation, MLOps, and decision intelligence. The book also examines emerging innovations, including autonomous data platforms, Generative AI, and responsible AI practices that are reshaping enterprise data strategies. Designed for data engineers, data architects, AI practitioners, business analysts, researchers, and technology leaders, this resource combines conceptual foundations with industry best practices, enabling readers to design robust data pipelines and leverage AI to drive innovation, operational excellence, and informed decision-making in the digital era. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798906734389
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Modern Data Engineering and AI (Hardcover)
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Hardcover. Condizione: new. Hardcover. Modern Data Engineering and AI: From Data Pipelines to Intelligent Analytics is a comprehensive guide to building intelligent, scalable, and future-ready data ecosystems. Covering the complete journey from modern data engineering fundamentals to AI-driven analytics, this book explains how organizations collect, process, govern, and transform data into actionable business intelligence. Readers will explore modern architectures, cloud-native platforms, ETL/ELT workflows, distributed processing, data governance, security, and real-time analytics, while gaining practical insights into machine learning, AI-powered observability, intelligent automation, MLOps, and decision intelligence. The book also examines emerging innovations, including autonomous data platforms, Generative AI, and responsible AI practices that are reshaping enterprise data strategies. Designed for data engineers, data architects, AI practitioners, business analysts, researchers, and technology leaders, this resource combines conceptual foundations with industry best practices, enabling readers to design robust data pipelines and leverage AI to drive innovation, operational excellence, and informed decision-making in the digital era. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9798906734389
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Modern Data Engineering and AI : From Data Pipelines to Intelligent Analytics
Da: AHA-BUCH GmbH, Einbeck, Germania
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Buch. Condizione: Neu. Neuware - Modern Data Engineering and AI: From Data Pipelines to Intelligent Analytics is a comprehensive guide to building intelligent, scalable, and future-ready data ecosystems. Covering the complete journey from modern data engineering fundamentals to AI-driven analytics, this book explains how organizations collect, process, govern, and transform data into actionable business intelligence. Readers will explore modern architectures, cloud-native platforms, ETL/ELT workflows, distributed processing, data governance, security, and real-time analytics, while gaining practical insights into machine learning, AI-powered observability, intelligent automation, MLOps, and decision intelligence. The book also examines emerging innovations, including autonomous data platforms, Generative AI, and responsible AI practices that are reshaping enterprise data strategies. Designed for data engineers, data architects, AI practitioners, business analysts, researchers, and technology leaders, this resource combines conceptual foundations with industry best practices, enabling readers to design robust data pipelines and leverage AI to drive innovation, operational excellence, and informed decision-making in the digital era. Codice articolo 9798906734389
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