
Data Modeling with Snowflake, 2nd Edition
Data Modeling with Snowflake is a practical guide to applying data modeling principles and Snowflake-specific features. It covers modeling fundamentals, SQL recipes, semi-structured data, and frameworks including Data Vault and Data Mesh, with added coverage of newer platform topics in the second edition.
At a glance
- Combines general data modeling methods with Snowflake-native objects and architecture.
- Topics include normalization, slowly changing dimensions, and handling hierarchical semi-structured data.
- Covers Data Vault, Data Mesh, Snowflake features, and SQL recipes for shaping data.
- Second-edition publisher description adds Iceberg, Dynamic Tables, Lakehouse concepts, and AI-enabled analytics.
Often bought together
Pros and cons
Pros
- Brings design fundamentals and Snowflake-specific examples together in one 444-page guide.
- The stated scope spans technical modeling and business alignment, including metrics and stakeholder collaboration.
- Print or Kindle purchase is stated to include a PDF eBook, subject to sign-up and proof-of-purchase requirements.
Technical specifications
9 specifications| Publisher | Packt Publishing |
|---|---|
| Edition | 2nd ed. |
| Publication date | September 2, 2025 |
| Language | English |
| Print length | 444 pages |
| Weight listed | 1.63 pounds |
|---|---|
| Dimensions | 7.5 x 0.98 x 9.25 inches |
| ISBN-10 | 1837028036 |
|---|---|
| ISBN-13 | 978-1837028030 |
What to know before buying
- The free PDF and Packt Reader access require email sign-up and proof of purchase. The product description applies these claims to print or Kindle purchases, so check the selected format's offer terms.
Who is it for?
A good fit for
- Snowflake developers and data practitioners who want to strengthen modeling before building data products.
- Analysts and readers new to database design who want practical modeling foundations applied to Snowflake.
- Data platform leads looking for material on modeling approaches, business metrics, and stakeholder alignment.
Less suited to
- Readers seeking a general-purpose database book without a Snowflake focus.
- Readers looking only for a narrow SQL reference rather than a guide spanning modeling methods, platform features, and organizational practice.
Customer reviews on Amazon
- 5 stars
88% 88% - 4 stars
7% 7% - 3 stars
0% 0% - 2 stars
0% 0% - 1 star
5% 5%
Aggregate customer ratings are largely in the top category, with a small one-star portion. Without written review details, these ratings cannot indicate which topics readers valued or what prompted lower scores. Consider the listed breadth and Snowflake focus when judging whether the book fits your needs.
Frequently asked questions
What subjects does the book cover?
The listing describes data modeling fundamentals, Snowflake architecture and objects, normalization, slowly changing dimensions, semi-structured data, Data Vault, Data Mesh, and SQL recipes.
What is new in the second edition?
The publisher description highlights Iceberg, Dynamic Tables, Lakehouse concepts, and AI-enabled analytics, alongside business-facing material on KPIs, metrics, and stakeholder alignment.
Does buying the book include a PDF?
The listing says a print or Kindle purchase includes a free PDF eBook. Email sign-up and proof of purchase are required.
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