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Fundamentals of Analytics Engineering

Fundamentals of Analytics Engineering

By : Dumky De Wilde, Kassapian, Gligorevic, Juan Manuel Perafan, Lasse Benninga, Ricardo Angel Granados Lopez, Taís Laurindo Pereira
4.7 (3)
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Fundamentals of Analytics Engineering

Fundamentals of Analytics Engineering

4.7 (3)
By: Dumky De Wilde, Kassapian, Gligorevic, Juan Manuel Perafan, Lasse Benninga, Ricardo Angel Granados Lopez, Taís Laurindo Pereira

Overview of this book

Written by a team of 7 industry experts, Fundamentals of Analytics Engineering will introduce you to everything from foundational concepts to advanced skills to get started as an analytics engineer. After conquering data ingestion and techniques for data quality and scalability, you’ll learn about techniques such as data cleaning transformation, data modeling, SQL query optimization and reuse, and serving data across different platforms. Armed with this knowledge, you will implement a simple data platform from ingestion to visualization, using tools like Airbyte Cloud, Google BigQuery, dbt, and Tableau. You’ll also get to grips with strategies for data integrity with a focus on data quality and observability, along with collaborative coding practices like version control with Git. You’ll learn about advanced principles like CI/CD, automating workflows, gathering, scoping, and documenting business requirements, as well as data governance. By the end of this book, you’ll be armed with the essential techniques and best practices for developing scalable analytics solutions from end to end.
Table of Contents (23 chapters)
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1
Prologue
Free Chapter
2
Part 1:Introduction to Analytics Engineering
5
Part 2: Building Data Pipelines
11
Part 3: Hands-On Guide to Building a Data Platform
13
Part 4: DataOps
17
Part 5: Data Strategy
21
Index

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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