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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

Why is cloud computing apt for implementing a data lakehouse?

Why cloud computing is apt for implementing a data lakehouse has been discussed in previous chapters. This section will recap and consolidate the top three reasons for adopting cloud computing for a data lakehouse.

The rapid advancements in cloud computing facilitate data analytics

Recall that in Chapter 1, Introducing the Evolution of Data Analytics Patterns, we discussed the five factors that have caused the perfect data storm. The following figure recaps these five factors:

Figure 8.1 – Ingredients of the perfect data storm

One of the five factors was The Advancement of Cloud Computing. As discussed extensively in Chapter 1, Introducing the Evolution of Data Analytics Patterns, the cloud computing landscape has constantly risen since 2010. Worldwide spending on the public cloud started at around $77 billion in 2010 and reached around $441 billion in 2020. Cloud computing eliminates...

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