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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

Chapter 5: Deriving Insights from a Data Lakehouse

A lot of ground has been covered so far. The previous chapters covered the methods of ingesting, processing, storing, and serving data in a data lakehouse. Transforming the underlying data into insights is the core aim of any data analytics platform, so this chapter will focus on how to do this. We will also explore the different kinds of data analytics that can be employed in this process.

First, we'll discuss some of the business requirements relating to data analytics. Then, we'll explore different kinds of data analytics and how different stakeholders can use them. After that, we will dive into how these capabilities are enabled using the three components of the data analytics layer: the analytics sandbox, the business intelligence service, and the artificial intelligence service. We will cover different types of descriptive and advanced data analytics. We will also focus on the methods of enabling these analytics...

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