Product guide

Data Engineering with dbt: A Practical Guide to Building a Cloud-Based Data Platform

Building Cloud-Based: Data Engineering with dbt is a practical book about creating data platforms and analytics workflows with SQL, dbt, and related tools. It covers data modeling, testing, macros, and automation through a guided project using dbt Cloud, Snowflake, and GitHub.

At a glance

Covers SQL-based transformations, dbt data modeling, and data quality testing.
Uses a guided project involving dbt Cloud, Snowflake, and GitHub.
Topics include Jinja, dbt macros, maintainable code, deployment, scheduling, and monitoring.
The listing says print or Kindle purchases include a free PDF eBook.

Price

$28.62Save 43%

Reference price: ~~$49.99~~

Price checked: Nov 14, 2026

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Pros and cons

Pros

The scope extends beyond writing transformations to testing, collaboration, deployment, and monitoring.
The guided project connects dbt concepts with Snowflake and GitHub workflows.
Includes primers for newer learners while recommending basic SQL and data-modeling knowledge.

Technical specifications

9 specifications

Book details
Publisher	Packt Publishing
Publication date	June 30, 2023
Edition	1st
Language	English
Print length	578 pages
ISBN-10	1803246286
ISBN-13	978-1803246284

Dimensions and installation
Weight listed	2.16 pounds
Dimensions	7.5 x 1.31 x 9.25 inches

What to know before buying

The book's project uses dbt Cloud, Snowflake, and GitHub, so readers seeking coverage centered on another tool stack should compare the contents with their needs. The listing describes a free PDF with print or Kindle purchases, but does not specify access or redemption details.

Who is it for?

A good fit for

Data engineers and analytics engineers learning dbt workflows.
BI professionals and data analysts who want to build or understand transformation pipelines.
Data team managers and decision-makers seeking context on data platforms and team practices.

Less suited to

Readers looking for a reference focused exclusively on advanced SQL, a different cloud warehouse, or a tool other than dbt.

Customer reviews on Amazon

4.8 / 5 · 34 ratings

5 stars84%84%
4 stars13%13%
3 stars0%0%
2 stars3%3%
1 star0%0%

The available aggregate ratings are strongly favorable overall, with most ratings in the highest category, but a small number are lower. Without written customer feedback, these figures do not explain what readers liked or disliked, or whether the book suits a particular level or workflow.

Frequently asked questions

What tools does the project use?

The described sample project uses dbt Cloud, Snowflake, and GitHub, including workflow topics such as continuous integration and automated deployment.

Do I need prior SQL experience?

The listing says basic SQL and data-modeling knowledge will help readers get the most from the book. It also says the book includes primers on data-related subjects.

What subjects does the book cover?

Topics include SQL transformations, data modeling, quality tests, dbt macros and Jinja, maintainable code, deployment, execution, documentation, and monitoring.

Is a PDF included?

The listing claims that purchasing the print or Kindle book includes a free PDF eBook. It does not explain how that access is provided.