Search icon
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
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 Prologue
Part 1:Introduction to Analytics Engineering
Chapter 1: What Is Analytics Engineering? Chapter 2: The Modern Data Stack Part 2: Building Data Pipelines
Chapter 3: Data Ingestion Chapter 4: Data Warehousing Chapter 5: Data Modeling Chapter 6: Transforming Data Chapter 7: Serving Data Part 3: Hands-On Guide to Building a Data Platform
Chapter 8: Hands-On Analytics Engineering Part 4: DataOps
Chapter 9: Data Quality and Observability Chapter 10: Writing Code in a Team Chapter 11: Automating Workflows Part 5: Data Strategy
Chapter 12: Driving Business Adoption Chapter 13: Data Governance Chapter 14: Epilogue Index
Other Books You May Enjoy

Understanding a Modern Data Stack

As the name suggests, the MDS represents a technological evolution compared to previous systems widely used in recent decades. From the development of the business data warehouse in the 1980s to the rise of cloud technology with Amazon Web Services (AWS) in the early 2000s, on-premises legacy data stacks dominated the landscape. These systems had a monolithic IT infrastructure, resulting in complex maintenance. The MDS transformed this scenario – bringing modularity and cloud-native tools. However, before we dive into the details, let’s first define what a data stack is.

A data stack is a collection of tools and services as part of an extensive technology infrastructure designed to ingest, store, transform, and serve data. It makes data accessible across an organization and is fundamental to delivering business insights through reporting and dashboards, advanced analytics, and Machine Learning (ML) applications. Figure 2.1 illustrates...

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 $15.99/month. Cancel anytime}