Redefining Data Engineering with AI (Early Release) | 1.94 MB
Title: Redefining Data Engineering with AI (for Duc Ka)
Author: Ashok Singamaneni, Sarath Chandra Bandaru, Phani Vemuri, and Aditya Chaturvedi
Category: Nonfiction, Science & Nature, Technology, Electronics, Computers, Advanced Computing, Artificial Intelligence, General Computing
Language: English | 532 Pages | ISBN: 9781040884331
Description:
While much of data engineering still means writing repetitive code, stitching together orchestration tools, and manually validating systems, the emergence of AI-assisted development is fast transforming this work. Redefining Data Engineering with AI introduces the concept of agentic engineering, a structured approach in which engineers express intent in natural language, and AI generates pipelines, documentation, test suites, and monitoring. Engineers remain in control, focusing on big-picture design, governance, and quality while delegating routine implementation to AI. Each chapter leads you through a practical step in the lifecycle, illustrating exactly where AI adds value and where human input is most crucial.
While much of data engineering still means writing repetitive code, stitching together orchestration tools, and manually validating systems, the emergence of AI-assisted development is fast transforming this work. Redefining Data Engineering with AI introduces the concept of agentic engineering, a structured approach in which engineers express intent in natural language, and AI generates pipelines, documentation, test suites, and monitoring. Engineers remain in control, focusing on big-picture design, governance, and quality while delegating routine implementation to AI. Each chapter leads you through a practical step in the lifecycle, illustrating exactly where AI adds value and where human input is most crucial.
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