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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

Implementing a data lakehouse on Microsoft Azure

The following figure maps the key cloud services available in Microsoft Azure for each of the seven layers of a data lakehouse:

Figure 8.4 – Azure services that realize data lakehouse layers

Each of these services has a plethora of features. Deep-diving into each of these services is beyond the scope of this book. However, we will explore each of these services in brief. It will also be prudent to note the following for Azure data services:

One service is designed to fulfill multiple functionalities. Here, we will discuss specific features of the most convenient services frequently used to realize a particular component of the data lakehouse architecture.

The data ingestion layer on Microsoft Azure

The first layer is the data ingestion layer. Recall that in Chapter 3, Ingesting and Processing Data in a Data Lakehouse, we covered the architectural considerations of the data ingestion layer. This...

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