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Redefining Data Engineering with AI
book

Redefining Data Engineering with AI

by Ashok Singamaneni, Sarath Chandra Bandaru, Phani Vemuri, Aditya Chaturvedi
February 2027
Intermediate to advanced
250 pages
5h 53m
English
O'Reilly Media, Inc.
Content preview from Redefining Data Engineering with AI

Chapter 5. Building the Data Foundation

So far, you have created many artifacts and spec files using various plugins discussed in previous chapters. The artifacts created were all part of the planning and decisions taken for building Patient 360. In this chapter, you will use all the artifacts to build the bronze layer of medallion architecture for loading raw data, which serves as the foundation. But if you feed all the artifacts to Claude at once, there is often a chance that the AI agent will go off track, hallucinate, suffer from context bloat, and be unable to complete the task. This chapter first addresses the gap by introducing the Scrum Master role and its plugin, which will break down work into small, atomic tasks, making the AI agent accountable. The chapter then explores the Developer role and the plugin that will implement the tasks created by the Scrum Master. By the end of this chapter, you will be able to build the Bronze layer using AI, which is the data foundation, along with the necessary ...

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Publisher Resources

ISBN: 0642572283919Errata Page