Mastering Snowflake DataOps with DataOps.live

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 

Who This Book Is For Snowflake practitioners—including data engineers, platform architects, and technical managers—who are ready to implement DataOps principles and streamline complex data workflows using DataOps.live. 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.