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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

Chapter 6: Applying Data Governance in the Data Lakehouse

The journey so far has covered five layers of Data Lakehouse. This chapter will focus on the final two layers, that is, data governance and data security layers. Data governance and security is an essential aspect of the modern data analytics platform. We will start this chapter by discussing the need for a data governance framework and how the 3-3-3 framework outlines the three components of data governance. The next section of the chapter will discuss implementing the data governance components in the Data Lakehouse. The sections will first cover implementing the three data governance components. Then, the sections will include key constructs for each of the data governance components and practical methods to implement them.

We will cover the following topics in the chapter:

  • The 3-3-3 framework for data governance
  • The three components of data governance
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