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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
Tools
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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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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

Preface

This book was written by a team of seven analytics engineers from Xebia, an international consultancy company in the Netherlands. As Xebians, knowledge sharing is a key part of our culture. In addition to helping our clients, we organize biweekly knowledge exchange sessions and monthly innovation days. As a result, our colleagues are always actively contributing to open-source software, organizing meetups, speaking at data conferences, and writing books.

While we are colleagues at the same company, each of us brings unique expertise and skills to the table. Analytics engineering is a diverse field, and mastering every aspect is not expected. In this book, each author contributed two or three chapters based on their interests and expertise. The same applies to you as a reader. Depending on your organization’s needs, certain chapters may hold greater relevance. Our goal is to provide a comprehensive overview of essential concepts, tailored to the varied demands of this profession.

Since its inception in 2019, analytics engineering has experienced remarkable growth. As its importance continues to be recognized by organizations worldwide, we firmly believe that analytics engineers will become indispensable members of every data team. Through this book, you have the opportunity to become a frontrunner in this evolving field, contributing to its advancement and shaping its future alongside us.

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