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Fundamentals of Analytics Engineering

You're reading from  Fundamentals of Analytics Engineering

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781837636457
Pages 332 pages
Edition 1st Edition
Languages
Authors (7):
Dumky De Wilde Dumky De Wilde
Profile icon Dumky De Wilde
Fanny Kassapian Fanny Kassapian
Profile icon Fanny Kassapian
Jovan Gligorevic Jovan Gligorevic
Profile icon Jovan Gligorevic
Juan Manuel Perafan Juan Manuel Perafan
Profile icon Juan Manuel Perafan
Lasse Benninga Lasse Benninga
Profile icon Lasse Benninga
Ricardo Angel Granados Lopez Ricardo Angel Granados Lopez
Profile icon Ricardo Angel Granados Lopez
Taís Laurindo Pereira Taís Laurindo Pereira
Profile icon Taís Laurindo Pereira
View More author details

Table of Contents (23) Chapters

Preface 1. Prologue
2. Part 1:Introduction to Analytics Engineering
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

Managing versions with version control

In analytics engineering, we take best practices from software engineering. You might be familiar with version control already. You have probably heard of Git, GitHub, Bitbucket, and similar tools or have been using such tools for a while now. They are absolutely essential to developing code in a team, and we would also encourage version control in cases where you are the only person working on a code base.

There are several reasons why version control is important:

  • Version control helps developers keep track of changes made to code over time, enabling them to revert to earlier versions if necessary
  • It allows multiple developers to work on the same code base simultaneously without interfering with each other’s work
  • Collaboration and code review are easier; it is easier to catch errors and improve code quality
  • By providing a history of changes, version control can help with debugging and troubleshooting
  • It aids...
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