商品描述
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.
商品描述(中文翻譯)
這本實用且深入的指南將教您如何使用 Snowflake 平台和 DataOps.live 建立現代化、複雜的數據處理流程——這是唯一能夠與 Snowflake 無縫整合 DataOps 的平台。這本書專為數據工程師、架構師和技術領導者設計，彌補了 DataOps 理論與實際應用之間的差距，幫助您掌控數據管道，提供更高效、自動化的解決方案。
您將探索 DataOps 的核心原則及其與傳統 DevOps 的不同之處，同時獲得現代數據管理所需的工具和技術的堅實基礎，包括 Git、DBT 和 Snowflake。通過實作範例和詳細的步驟說明，您將學會如何在 Snowflake 中實施自己的 DataOps 策略，並最大化 DataOps.live 的效能，以擴展和完善您的 DataOps 流程。
無論您是剛開始接觸 DataOps，還是希望完善和擴展現有策略，這本書都提供了實用的程式碼範例和入門專案，讓您獲得簡化數據操作、將 DataOps 整合到您的 Snowflake 基礎設施中所需的知識和工具，並在快速演變的數據管理世界中保持領先。
您將學到的內容：
- 探索 DataOps 的基本原則、其與 DevOps 的差異及其在現代數據管理中的重要性
- 理解 Git 在 DataOps 中的角色及如何有效使用它
- 知道為什麼 DBT 是 DataOps 的首選及如何應用它
- 在 Snowflake 生態系統中設置和管理 DataOps.live
- 應用先進技術以擴展和演進您的 DataOps 策略
本書適合對象：
Snowflake 實踐者——包括數據工程師、平台架構師和技術經理——他們準備實施 DataOps 原則並使用 DataOps.live 簡化複雜的數據工作流程。
作者簡介
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.
作者簡介(中文翻譯)
羅納德·斯蒂爾曼是一位擁有超過20年數據、分析、人工智慧（AI）和軟體開發經驗的資深專家。在他的職業生涯中，他曾在各種行業工作，從大型醫療和科技企業到靈活的初創公司和諮詢公司。他廣泛的專業背景使他能夠對組織在數據管理和分析方面面臨的挑戰和機遇形成獨特的看法。憑藉對尖端技術和方法論的深刻理解，他持續提供創新的解決方案，幫助企業在快速變化的數位環境中保持領先。
專注於數據整合、AI/ML（機器學習）、分析和DataOps，羅納德已成為該領域的專家及Snowflake生態系統的思想領袖。他的專業知識在於創建精簡的數據流程，最大化效率，同時推動可行的見解。多年來，他幫助無數組織轉變其數據處理方式，為他們提供建立穩健、可擴展基礎設施所需的工具和策略。他對DataOps方法論的全面理解使他能夠簡化複雜的工作流程，使團隊能夠專注於最重要的事情：從數據中獲取價值。
這本技術書籍源於羅納德希望幫助讀者將DataOps策略整合到其組織中，並更好地利用DataOps.Live平台來實現商業目標的願望。他撰寫這本書的目標是使複雜的數據流程變得更易於接觸，賦予專業人士完全控制其數據管道的能力，並提供更高效、自動化的解決方案。
除了他的實務經驗外，羅納德曾就讀於奧克拉荷馬大學，在那裡他建立了堅實的數據和技術基礎。他對學習和持續成長的熱情在他決定撰寫這本書中表現得淋漓盡致。
除了專業成就外，羅納德是一位好奇且喜愛冒險的人，擁有許多個人興趣。當他不在探索最新的技術進展時，他喜歡旅行、烹飪以及飼養珊瑚礁和海水水族箱。他也是一位熱愛閱讀的人，不斷尋求在個人和專業生活中獲取新知識。他多樣的興趣反映了他對生活平衡方法的信念，將技術專業與創造力和探索相結合。
