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Data Lakehouse in Action

You're reading from  Data Lakehouse in Action

Product type Book
Published in Mar 2022
Publisher Packt
ISBN-13 9781801815932
Pages 206 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Pradeep Menon Pradeep Menon
Profile icon Pradeep Menon

Table of Contents (14) Chapters

Preface PART 1: Architectural Patterns for Analytics
Chapter 1: Introducing the Evolution of Data Analytics Patterns Chapter 2: The Data Lakehouse Architecture Overview PART 2: Data Lakehouse Component Deep Dive
Chapter 3: Ingesting and Processing Data in a Data Lakehouse Chapter 4: Storing and Serving Data in a Data Lakehouse Chapter 5: Deriving Insights from a Data Lakehouse Chapter 6: Applying Data Governance in the Data Lakehouse Chapter 7: Applying Data Security in a Data Lakehouse PART 3: Implementing and Governing a Data Lakehouse
Chapter 8: Implementing a Data Lakehouse on Microsoft Azure Chapter 9: Scaling the Data Lakehouse Architecture Other Books You May Enjoy

Summary

We have covered a lot of ground in this chapter. The data governance layer, one of the vital layers in the Data Lakehouse, was covered in depth. We started by emphasizing the importance of data governance. The 3-3-3 framework for data governance provides a holistic framework for looking into data governance in a structured manner. As part of the 3-3-3 framework, must-have objectives for data governance were covered. The section also covered the key roles that enable data governance and the critical aspects of data governance policies, and the characteristics of technologies that allow it.

The next section of the chapter focused on the three components of the data governance layer, that is, data governance policy management, the data cataloging service, and the data quality service. The section then drilled down into what each component means and how the parts come to fruition in the Data Lakehouse architecture.

The next chapter will focus on the final layer of the Data...

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