The Agile Analytics book aims to provide an adaptation of the Agile development approach to the specific characteristics of Datawarehouse (DW) and Business Intelligence (BI) systems development. The book is divided into two parts. The first part focuses on Agile project management techniques and delivery team coordination. The book includes chapters on Agile project management, customers and collaboration, user stories for BI systems and self-organizing teams. The second part of the book focuses on the technical methods that are necessary to enable continuous delivery of value at production-quality levels. This part contains material on evolutionary design, TDD Warehouse development, version control or project automation. The book is well written and well-structured. The concepts are illustrated with many anecdotes and examples. An important list of references and further reading material is available at the end of the book. My favorite part is the chapter 6 that deals with evolving design, a key factor for successful agile projects. I will naturally recommend this book to every developer or manager involved DW and BI projects, but this book has also a much broader appeal. The issues specific DW or BI are not far for every large project, where databases play a major role, as it might be for instance in a mainframe environment. There you usually have to balance the architecture, performance and stability needs expressed on the database and operation sides of your organization with the goal of delivering frequently new working software. With his process of adapting Agile to data analytics, [...]
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