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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 1. PART 1: Architectural Patterns for Analytics
2. Chapter 1: Introducing the Evolution of Data Analytics Patterns 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

Realizing the data security components in a data lakehouse

We covered the elements of data security briefly in Chapter 2, The Data Lakehouse Architecture Overview. Recall that, in that chapter, we discussed the four key components of the data security layer. The following figure summarizes the four components of the data security layer:

Figure 7.1 – Data security components

These four components ensure that data is well secured and that access to data is controlled. They work together in securing the data lakehouse. The following figure depicts how these four components orchestrate protected data:

Figure 7.2 – Orchestration of various data security components in the data lakehouse

Whenever any interaction needs to be done with the data lakehouse layers, it must go through the network security service. The network security service filters the traffic to the data lakehouse layer. The network traffic to and from the data...

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