Mastering Snowflake DataOps with DataOps.live : An End-to-End Guide to Modern Data Management / by Ronald L. Steelman Jr.

Format:

Book

Author/Creator:

Steelman Jr., Ronald L.

Series:

Professional and Applied Computing Series

Language:

English

Subjects (All):

Database management.

Physical Description:

1 online resource (323 pages)

Edition:

1st ed. 2025.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2025.

Summary:

This practical, in-depth guide shows you how to build modern, sophisticated data processes using the Snowflake platform and DataOps.live—the only platform that enables seamless DataOps integration with Snowflake. Designed for data engineers, architects, and technical leaders, it bridges the gap between DataOps theory and real-world implementation, helping you take control of your data pipelines to deliver more efficient, automated solutions.. You’ll explore the core principles of DataOps and how they differ from traditional DevOps, while gaining a solid foundation in the tools and technologies that power modern data management—including Git, DBT, and Snowflake. Through hands-on examples and detailed walkthroughs, you’ll learn how to implement your own DataOps strategy within Snowflake and maximize the power of DataOps.live to scale and refine your DataOps processes. Whether you're just starting with DataOps or looking to refine and scale your existing strategies, this book—complete with practical code examples and starter projects—provides the knowledge and tools you need to streamline data operations, integrate DataOps into your Snowflake infrastructure, and stay ahead of the curve in the rapidly evolving world of data management. What You Will Learn Explore the fundamentals of DataOps, its differences from DevOps, and its significance in modern data management Understand Git’s role in DataOps and how to use it effectively Know why DBT is preferred for DataOps and how to apply it Set up and manage DataOps.live within the Snowflake ecosystem Apply advanced techniques to scale and evolve your DataOps strategy .

Contents:

1. DataOps

2. Pillars of True DataOps

3. MLOps

4. DataOps Best Practices

5. Understanding Snowflake

6. Introduction to Git

7. Getting Started with Git

8. Advanced Git Topics

9. Introduction to DBT

10. Advanced DBT Techniques and Best Practices

11. Introduction to DataOps.live Platform

12. DataOps.live & DataOps: Better Together

13: Essential Elements of DataOps.live

14. Getting Started with DataOps.live

15. Managing Your Environments

16. Build Your First DataOps Pipeline

17. Getting Started with SOLE

18. Getting Started with MATE

19. Managing Multiple Databases with DataOps.Live

20. DataOps.live Orchestrators

21. Build Only Changed Models

22. DataOps.live REST API

23. Medallion Architecture

24. Kimball Architecture

25. DataVault 2.0 Architecture

26. Combining Medallion with DataVault 2.0 and Kimball

27. Entity-Relationship (ER) Modeling and Beyond

28. Event-Driven Data Models

29. Graph Data Modeling.

Notes:

Includes index.

Description based on publisher supplied metadata and other sources.

ISBN:

979-88-6881-754-0

OCLC:

1548304564