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E-raamat: The DataOps Revolution: Delivering the Data-Driven Enterprise

  • Formaat: 194 pages
  • Ilmumisaeg: 05-Aug-2021
  • Kirjastus: Auerbach
  • ISBN-13: 9781000462098
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  • Formaat: 194 pages
  • Ilmumisaeg: 05-Aug-2021
  • Kirjastus: Auerbach
  • ISBN-13: 9781000462098
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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 organizations. 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 around an organization. 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.

This approach presented in the 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 the real-world projects that can deliver to customers and project team members satisfaction and fulfillment.



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.
Contents vii
List of Figures
ix
Acknowledgements xi
About the Author xiii
Introduction xv
Why a Narrative Style of Writing? xvii
Background xvii
Part I Scoping and Defining
Chapter 1 Setting the Vision
2(16)
Key Concepts
2(15)
Closing Questions
17(1)
Chapter 2 Setting the Target
18(12)
Key Concepts
18(10)
Closing Questions
28(2)
Chapter 3 Understanding the Platform
30(12)
Key Concepts
30(10)
Closing Questions
40(2)
Chapter 4 Getting Data Driven
42(8)
Key Concepts
42(7)
Closing Questions
49(1)
Chapter 5 Controlled Empowerment
50(10)
Key Concepts
50(9)
Closing Questions
59(1)
Chapter 6 Putting it All Together
60(14)
Key Concepts
60(11)
Closing Questions
71(3)
Part II Delivering
Chapter 7 A Focus On Plans
74(14)
Key Concepts
74(12)
Closing Questions
86(2)
Chapter 8 Setting Up the Framework
88(16)
Key Concepts
88(14)
Closing Questions
102(2)
Chapter 9 Technology Choice
104(14)
Key Concepts
104(12)
Closing Questions
116(2)
Chapter 10 Iterations, Building Momentum
118(18)
Key Concepts
118(16)
Closing Questions
134(2)
Chapter 11 Embedding Governance
136(18)
Key Concepts
136(16)
Closing Questions
152(2)
Chapter 12 Dataops Realised
154(8)
Key Concepts
154(6)
Closing Questions
160(2)
Part III Appendix
Epilogue 162
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.