Data Engineering with Generative & Agentic AI by Justin J. Leto(.ePUB)
File Size: 24.7 MB
Data Engineering with Generative and Agentic AI on AWS: Building an AI-Augmented Data Practice for the Enterprise by Justin J. Leto
Requirements: .ePUB reader, 24.7 MB | True EPUB
Overview: 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 analysts, data architects, engineering managers, CTOs, CDOs, and data-focused entrepreneurs looking to gain an edge over the competition. Data engineers, analysts, architects, and tech leaders seeking practical guidance on AWS data engineering and Generative AI, with or without prior cloud experience.
Genre: Non-Fiction > Tech & Devices
Free Download links: