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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
Author Profile Icon Pradeep Menon
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 8: Implementing a Data Lakehouse on Microsoft Azure

We have come a long way on our journey in exploring modern data analytics architecture through the concept of the data lakehouse. All seven layers of the data lakehouse are covered in detail in the preceding chapters. Although you can employ the same architecture in any cloud service or even on-premises, I will implement a data lakehouse on the Microsoft Azure platform.

This chapter will start by refreshing the concepts covered in Chapter 1, Introducing the Evolution of Data Analytics Patterns, and Chapter 2, The Data Lakehouse Architecture Overview, and establishing the advantages of using cloud computing. The following three sections of the chapter will focus on the cloud services used to bring to fruition the data lakehouse architecture. Finally, the chapter will explain the services in Microsoft Azure that you can use to realize the data lakehouse architecture. We will discuss the key features of each of these services...

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