DataOps is a new way of delivering data and analytics that is proven to get results. It enables IT and users to collaborate in the delivery of solutions that help organizations to embrace a data driven culture. This book is a narrative about real world issues involved in using DataOps to make data-driven decisions in modern organizations.
DataOps is a new way of delivering data and analytics that is proven to get results. It enables IT and users to collaborate in the delivery of solutions that help organizations to embrace a data driven culture. This book is a narrative about real world issues involved in using DataOps to make data-driven decisions in modern organizations.
Simon Trewin is an IT professional and entrepreneur who has had the privilege of working with many leading organizations in delivering data solutions for over 25 years. He has a passion for data and analytics that has led him to structuring the six IMPACT pillars of DataOps and is the founder of the DataOps Thinktank. He is a regular speaker and presenter at data conferences and has published many articles on LinkedIn and social media. Key successes in his career have come from helping organizations to accelerate their data delivery using a combination of tried and trusted solutions and new thinking to enable them to meet challenging deadlines and overcome complex problems.
Inhaltsangabe
Contents. List of Figures. Acknowledgements. About the Author. Introduction. Part I: Scoping and Defining. Chapter 1 Setting the Vision. Chapter 2 Setting the Target. Chapter 3 Understanding the Platform. Chapter 4 Getting Data Driven. Chapter 5 Controlled Empowerment. Chapter 6 Putting It All Together. Part II: Delivering. Chapter 7 A Focus on Plans. Chapter 8 Setting Up the Framework. Chapter 9 Technology Choice. Chapter 10 Iterations, Building Momentum. Chapter 11 Embedding Governance. Chapter 12 DataOps Realised. Part III: Appendix. Epilogue.
Contents. List of Figures. Acknowledgements. About the Author. Introduction. Part I: Scoping and Defining. Chapter 1 Setting the Vision. Chapter 2 Setting the Target. Chapter 3 Understanding the Platform. Chapter 4 Getting Data Driven. Chapter 5 Controlled Empowerment. Chapter 6 Putting It All Together. Part II: Delivering. Chapter 7 A Focus on Plans. Chapter 8 Setting Up the Framework. Chapter 9 Technology Choice. Chapter 10 Iterations, Building Momentum. Chapter 11 Embedding Governance. Chapter 12 DataOps Realised. Part III: Appendix. Epilogue.
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