Modern Data Engineering and AI : From Data Pipelines to Intelligent Analytics
Language: English
Published by Notion Press Media Pvt. Ltd Aug 2026, 2026
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
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Add to basketItem description from seller
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.…
Seller Inventory # 9798906734389
- Title
- Modern Data Engineering and AI : From Data Pipelines to Intelligent Analytics
- Author
- Manish Raj Anand
- Publisher
- Notion Press Media Pvt. Ltd Aug 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 13
- 9798906734389
- Item weight
- 553 grams
- Dimensions
- 229x152x18 mm
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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