Data Engineering with Generative and Agentic AI on AWS: Building an AI-Augmented Data Practice for the Enterprise
Data Engineering with Generative and Agentic AI on AWS : Building an AI-Augmented Data Practice for the Enterprise
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Data Engineering with Generative and Agentic AI on AWS: Building an AI-Augmented Data Practice for the Enterprise
Overall Rating: 2.4 / 5 (average from multiple review sources, as of 24 Apr 2026)
Based on a total of 46,997 customer reviews from independent review platforms.
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Based on a total of 46,997 customer reviews from independent review platforms.
Sources & Transparency:
The values are derived from publicly available retailer ratings from platforms such as Feefo, http://Reviews.io , Trustpilot, and others, and are aggregated monthly.
All brand names and logos are the property of their respective owners.
Notice:
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This title will be released on May 26, 2026. Pre-order now. Express Delivery available with Amazon Prime.
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Unlock the future of cloud data engineering with generative and agentic AI on AWS. This hands-on guide shows you how to build intelligent, responsive data platforms using cutting-edge AI capabilities and modern AWS services. Learn to design next-generation data architectures-from data lakes and data mesh to scalable pipelines and real-time analytics.Discover how generative AI and agentic automation are transforming every aspect of enterprise data work: ingesting unstructured data, enabling semantic search with Retrieval-Augmented Generation (RAG), building autonomous data agents, and using natural language interfaces to turn business questions into instant insights. Author Justin J. Leto, PE, MBA, PMP, is a Principal Solutions Architect at AWS with over 20 years of experience in data engineering and AI.He doesn't just teach today's techniques-he prepares you for the future disruptions reshaping the field.His book is essential reading for current and aspiring data engineers, data analys
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