Fundamentals of Analytics Engineering

Navigate the world of data analytics with Fundamentals of Analytics Engineering—guiding you from foundational concepts to advanced techniques of data ingestion and warehousing, data lakehouse, and data modeling. Written by a team of 7 industry experts, this book helps you to transform raw data into structured insights.
You’ll discover how to clean, filter, aggregate, and reformat data, and seamlessly serve it across diverse platforms. With practical guidance, you’ll also learn how to build a simple data platform using Airbyte for ingestion, Google BigQuery for warehousing, dbt for transformations, and Tableau for visualization. From data quality and observability to fostering collaboration on codebases, you’ll find effective strategies for ensuring data integrity and driving collaborative success. As you advance, you'll become well-versed with the CI/CD principles for automated code building, testing, and deployment—laying the foundation for consistent and reliable pipelines. With invaluable insights into gathering business requirements, documenting complex business logic, and the importance of data governance, you’ll develop a holistic understanding of the analytics lifecycle.
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.

Type
ebook
Category
Data
publication date
2024-03-29
what you will learn

Design and implement data pipelines from ingestion to serving data
Explore best practices for data modeling and schema design
Gain insights into the use of cloud-based analytics platforms and tools for scalable data processing
Understand the principles of data governance and collaborative coding
Comprehend data quality management in analytics engineering
Gain practical skills in using analytics engineering tools to conquer real-world data challenges

no of pages
332
duration
664
key features
Discover how analytics engineering aligns with your organization's data strategy * Access insights shared by a team of seven industry experts * Tackle common analytics engineering problems faced by modern businesses * Purchase of the print or Kindle book includes a free PDF eBook
approach
This book traverses every topic considered essential to becoming an experienced analytics engineer. Each chapter will focus on an area of interest like data ingestion, data modelling, data quality & observability, data strategy, data warehousing, and data governance serving as a starting point for the readers who want to dig deeper into each of these topics
audience
This book is for data engineers and data analysts considering pivoting their careers into analytics engineering. Analytics engineers who want to upskill and search for gaps in their knowledge will also find this book helpful, as will other data professionals who want to understand the value of analytics engineering in their organization's journey toward data maturity. To get the most out of this book, you should have a basic understanding of data analysis and engineering concepts such as data cleaning, visualization, ETL and data warehousing.
meta description
Gain a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering
short description
Boost your analytics engineering journey with this comprehensive guide, written by 7 industry experts. This book is an indispensable resource that arms you with all the knowledge, skills, and insights you need to excel in this rapidly evolving field.
subtitle
An introduction to building end-to-end analytics solutions
keywords
dbt workbook; dbt skills workbook; Python for data analysis; Data engineering; Data analytics books; Data model; Data modelling
Product ISBN
9781837636457