# 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.

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- Market: US
- Language: en-US
- Currency: USD
- Category: Books, Music & Hobbies > Books, Music & Movies > Books & Comics
- Price: 28.62 USD
- Previous price: 49.99 USD
- Discount: 43%
- Price checked: 2026-11-14T05:51:55.271Z
- Rating: 4.8 / 5
- Reviews: 34

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## 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.

## 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.

## 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

## Before you buy

- 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.

## 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 feedback

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.

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## Add-ons

- [Fundamentals of Data Engineering: Plan and Build Robust Data Systems](https://best-deals.pro/visit/data-engineering-with-dbt-practical-guide)
- [The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling](https://best-deals.pro/visit/data-engineering-with-dbt-practical-guide)

## Images

![Data Engineering with dbt: A Practical Guide to Building a Cloud-Based Data Platform — 1](https://best-deals.pro/i/vXh1Q87S_ka_qilnzfukJ-2fsy8wgX2fx8aCpE5AO2lIoopn8wH79mYp6gG091DKdPOQ4ZMURV795N0NhFgHvLFdeg8QU3P8azrWw3ZIhAUGWnzNYAAD.jpg)