Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Data Lakehouse in Action

You're reading from   Data Lakehouse in Action Architecting a modern and scalable data analytics platform

Arrow left icon
Product type Paperback
Published in Mar 2022
Publisher Packt
ISBN-13 9781801815932
Length 206 pages
Edition 1st Edition
Languages
Tools
Concepts
Arrow right icon
Author (1):
Arrow left icon
Pradeep Menon Pradeep Menon
Author Profile Icon Pradeep Menon
Pradeep Menon
Arrow right icon
View More author details
Toc

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 9: Scaling the Data Lakehouse Architecture

In the journey so far, we have covered all the seven layers of the data lakehouse architecture. However, for large organizations that are complex and spread globally, a single data lakehouse won't suffice. They will need multiple platforms to fulfill their analytical requirements. In addition, they will need a structured process to share data elements between them. Therefore, the need arises to develop a macro-architecture pattern that ensures that the organization's overall analytical requirements are met without compromising the architectural debts.

This chapter will discuss concepts that you can use to develop those macro-architecture patterns. First, we will define the need for a macro-architecture pattern for a data lakehouse and the organizational drivers that dictate the requirements for such a pattern. Next, we will cover two types of macro-architecture patterns, namely hub-spoke and data mesh. This section will...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime