Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Fundamentals of Analytics Engineering

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

Arrow left icon
Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781837636457
Length 332 pages
Edition 1st Edition
Tools
Arrow right icon
Authors (7):
Arrow left icon
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
Arrow right icon
View More author details
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

The Modern Data Stack

Data’s exponential growth and the need to incorporate analytics-driven decision-making have brought new challenges and requirements to organizations. Information must be reliable, scalable, and delivered quickly to remain competitive. In this scenario, a new set of tools, technologies, and processes starts to gain traction – the Modern Data Stack (MDS).

In this chapter, you will learn what the MDS is, the principles that differentiate it from legacy stacks, and its advantages and disadvantages. Although this set of tools brought significant technological advancements versus legacy tightly coupled systems, it is important to be aware of its pitfalls and the recent considerations when choosing this type of stack.

The main topics that are going to be covered are as follows:

  • Understanding the Modern Data Stack
  • Explaining three key differentiators versus legacy stacks
  • Discussing the advantages and disadvantages of the MDS
...
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 $19.99/month. Cancel anytime
Banner background image