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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 organisations to embrace a data-driven culture. The DataOps Revolution: Delivering the Data-Driven Enterprise is a narrative about real world issues involved in using DataOps to make data-driven decisions in modern organisations. The book is built around real delivery examples based on the author's own experience and lays out principles and a methodology for business success using DataOps. Presenting practical design patterns and DataOps approaches, the book shows how DataOps projects are run and presents the benefits of using DataOps to implement data solutions.
Best practices are introduced in this book through the telling of a story, which relates how a lead manager must find a way through complexity to turn an organisation around. This narrative vividly illustrates DataOps in action, enabling readers to incorporate best practices into everyday projects. The book tells the story of an embattled CIO who turns to a new and untested project manager charged with a wide remit to roll out DataOps techniques to an entire organisation. It illustrates a different approach to addressing the challenges in bridging the gap between IT and the business.
The approach presented in this story lines up to the six IMPACT pillars of the DataOps model that Kinaesis (www.kinaesis.com) has been using through its consultants to deliver successful projects and turn around failing deliveries. The pillars help to organise thinking and structure an approach to project delivery. The pillars are broken down and translated into steps that can be applied to real-world projects that can deliver satisfaction and fulfillment to customers and project team members.
List of contents
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.
About the author
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.
Summary
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.
