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Fundamentals of Analytics Engineering

You're reading from   Fundamentals of Analytics Engineering An introduction to building end-to-end analytics solutions

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781837636457
Length 332 pages
Edition 1st Edition
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Authors (7):
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Dumky De Wilde Dumky De Wilde
Author Profile Icon Dumky De Wilde
Dumky De Wilde
Ricardo Angel Granados Lopez Ricardo Angel Granados Lopez
Author Profile Icon Ricardo Angel Granados Lopez
Ricardo Angel Granados Lopez
Lasse Benninga Lasse Benninga
Author Profile Icon Lasse Benninga
Lasse Benninga
Taís Laurindo Pereira Taís Laurindo Pereira
Author Profile Icon Taís Laurindo Pereira
Taís Laurindo Pereira
Jovan Gligorevic Jovan Gligorevic
Author Profile Icon Jovan Gligorevic
Jovan Gligorevic
Juan Manuel Perafan Juan Manuel Perafan
Author Profile Icon Juan Manuel Perafan
Juan Manuel Perafan
Fanny Kassapian Fanny Kassapian
Author Profile Icon Fanny Kassapian
Fanny Kassapian
+3 more Show less
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Toc

Table of Contents (23) Chapters Close

Preface 1. Prologue
2. Part 1:Introduction to Analytics Engineering FREE CHAPTER
3. Chapter 1: What Is Analytics Engineering? 4. Chapter 2: The Modern Data Stack 5. Part 2: Building Data Pipelines
6. Chapter 3: Data Ingestion 7. Chapter 4: Data Warehousing 8. Chapter 5: Data Modeling 9. Chapter 6: Transforming Data 10. Chapter 7: Serving Data 11. Part 3: Hands-On Guide to Building a Data Platform
12. Chapter 8: Hands-On Analytics Engineering 13. Part 4: DataOps
14. Chapter 9: Data Quality and Observability 15. Chapter 10: Writing Code in a Team 16. Chapter 11: Automating Workflows 17. Part 5: Data Strategy
18. Chapter 12: Driving Business Adoption 19. Chapter 13: Data Governance 20. Chapter 14: Epilogue 21. Index
22. Other Books You May Enjoy

Moving to the cloud

In the last decade, the adoption of the cloud by vendors and businesses alike has created a new market in data warehousing. Cloud vendors shook the data warehousing status quo due to their massive infrastructure and market advantage. It looks like the cloud data warehouse (CDWH) is here to stay.

This section aims to enhance your understanding of CDWHs. By the end of this discussion, you should understand why companies choose CDWHs over on-premises solutions, which components the CDWH consists of, and the different kinds of cloud data warehouse users.

Over the past few years, many organizations with a data warehouse have migrated to the cloud. One of the biggest reasons is cost. Traditionally, a company wanting a data warehouse would need to host it itself. This meant buying and maintaining expensive hardware, as well as paying a vendor for an annual software license. Migrations between data warehouses were difficult and preferably avoided. If the company did...

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