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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
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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

Serving Data

You have probably heard it said that data is the new oil. What most experts neglect to mention is that data is a costly asset that is only valuable for two things: automating processes and informing your users’ decision-making. In other words, data only becomes useful when you serve it.

So far, we have discussed the multiple stages of the data life cycle (e.g., storage and ingestion). However, the truth is that most of your users do not care about any of that. They do not want to hear about data warehouses, Python packages, or Docker images. If anything, they take all the work necessary to create a bar chart for granted.

This part of the process is your users’ first and only contact with the data. It is the interface between your work and the rest of your organization. So, you want to make a great impression. If you learn how to do it well, you will become invaluable. Every important person in an organization needs data, so knowing how to serve data...

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