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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 PART 1: Architectural Patterns for Analytics
Chapter 1: Introducing the Evolution of Data Analytics Patterns Chapter 2: The Data Lakehouse Architecture Overview PART 2: Data Lakehouse Component Deep Dive
Chapter 3: Ingesting and Processing Data in a Data Lakehouse Chapter 4: Storing and Serving Data in a Data Lakehouse Chapter 5: Deriving Insights from a Data Lakehouse Chapter 6: Applying Data Governance in the Data Lakehouse Chapter 7: Applying Data Security in a Data Lakehouse PART 3: Implementing and Governing a Data Lakehouse
Chapter 8: Implementing a Data Lakehouse on Microsoft Azure Chapter 9: Scaling the Data Lakehouse Architecture 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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