Mastering Snowflake DataOps with DataOps.live
Description
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.
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Person
Ronald Steelman is a seasoned expert with more than 20 years of experience in data, analytics, artificial intelligence (AI), and software development. Throughout his career, he has worked across various industries, from large enterprises in healthcare and technology to nimble startups and consulting firms. His broad professional background has enabled him to develop a unique perspective on the challenges and opportunities that organizations face regarding data management and analytics. With his deep understanding of cutting-edge technologies and methodologies, He has consistently delivered innovative solutions that help businesses stay ahead in a rapidly evolving digital landscape.
Specializing in data integration, AI/ML (machine learning), analytics, and DataOps, Ronald has become an expert in the field and a thought leader in the Snowflake ecosystem. His expertise is creating streamlined data processes that maximize efficiency while driving actionable insights. Over the years, he has helped countless organizations transform how they handle data, providing them with the tools and strategies they need to build robust, scalable infrastructures. His comprehensive understanding of DataOps methodologies allows him to simplify complex workflows, enabling teams to focus on what matters most: deriving value from their data.
This technical book was born from Ronald's desire to help readers integrate a DataOps strategy into their organizations and better utilize the DataOps.Live platform to achieve their business goals. His goal with the book is to make sophisticated data processes more accessible, empowering professionals to take complete control of their data pipelines and deliver more efficient, automated solutions.
In addition to his practical experience, Ronald attended the University of Oklahoma, where he built a solid foundation in data and technology. His passion for learning and continuous growth is evident in his decision to author this book.
Beyond his professional achievements, Ronald is a curious and adventurous individual with many personal interests. When he's not exploring the latest technological advancements, he enjoys traveling, cooking, and keeping reef and saltwater aquariums. He's also an avid reader, constantly seeking new knowledge in both his personal and professional life. His diverse interests reflect his belief in a balanced approach to life, combining technical expertise with creativity and exploration.
Content
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.