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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

Methods of implementing network security in a data lakehouse

The network is the lifeline of the data lakehouse. The data flows in and out of the data lakehouse through the network. The network acts as a conduit to other systems as well. Therefore, it is paramount to ensure that the network is well protected. All other data security components work in tandem with network security services. Network security aims to protect the usability and integrity of your network. It effectively manages access to the network and mitigates various threats and stops them from entering or spreading on your network.

In the previous section, we covered the network security layer at a high level. So, let's further drill down to the network security service and discuss what it entails. The following figure dives deeper into the subcomponents of network security services:

Figure 7.9 – The subcomponents of network security services

Let's break down this figure...

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