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Data Lakehouse in Action

You're reading from   Data Lakehouse in Action Architecting a modern and scalable data analytics platform

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Product type Paperback
Published in Mar 2022
Publisher Packt
ISBN-13 9781801815932
Length 206 pages
Edition 1st Edition
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Author (1):
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Pradeep Menon Pradeep Menon
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Pradeep Menon
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Table of Contents (14) Chapters Close

Preface 1. PART 1: Architectural Patterns for Analytics
2. Chapter 1: Introducing the Evolution of Data Analytics Patterns FREE CHAPTER 3. Chapter 2: The Data Lakehouse Architecture Overview 4. PART 2: Data Lakehouse Component Deep Dive
5. Chapter 3: Ingesting and Processing Data in a Data Lakehouse 6. Chapter 4: Storing and Serving Data in a Data Lakehouse 7. Chapter 5: Deriving Insights from a Data Lakehouse 8. Chapter 6: Applying Data Governance in the Data Lakehouse 9. Chapter 7: Applying Data Security in a Data Lakehouse 10. PART 3: Implementing and Governing a Data Lakehouse
11. Chapter 8: Implementing a Data Lakehouse on Microsoft Azure 12. Chapter 9: Scaling the Data Lakehouse Architecture 13. 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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