By Ken W. Collier
Utilizing Agile tools, you could carry a long way larger innovation, price, and caliber to any information warehousing (DW), company intelligence (BI), or analytics venture. even if, traditional Agile tools has to be conscientiously tailored to handle the original features of DW/BI tasks. In Agile Analytics, Agile pioneer Ken Collier exhibits tips on how to do exactly that.
Collier introduces platform-agnostic Agile recommendations for integrating infrastructures along with various operational, legacy, and forte structures that blend advertisement and customized code. utilizing operating examples, he exhibits find out how to deal with analytics improvement groups with commonly varied ability units and the way to aid huge, immense and fast-growing information volumes. Collier’s innovations provide optimum price no matter if your tasks contain “back-end” information administration, “front-end” company research, or both.
Part I specializes in Agile venture administration strategies and supply workforce coordination, introducing middle practices that form the way in which your Agile DW/BI undertaking neighborhood can collaborate towards success
Part II offers technical tools for permitting non-stop supply of industrial worth at production-quality degrees, together with evolving enhanced designs; test-driven DW improvement; model keep an eye on; and undertaking automation
Collier brings jointly confirmed options you could follow correct now—whether you’re an IT decision-maker, information warehouse expert, database administrator, company intelligence professional, or database developer. together with his support, you could mitigate undertaking danger, enhance company alignment, in achieving larger results—and have a good time alongside the way in which.
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Extra info for Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing (Agile Software Development Series)
Thanks, Scott. I don’t think I truly understood what it means for somebody to have “the patience of a saint” before working with Addison-Wesley editor Chris Guzikowski and editorial assistant Raina Chrobak. As it turns out, I am a painfully slow author who is not very good at applying Agile principles to book-writing deadlines. Huge thanks go to Raina and Chris, who were amazingly patient as I slipped deadline after deadline. I hope I have future opportunities to redeem myself as an author. Ralph Hughes’s Agile Data Warehousing book hit the shelves as I was writing this book.
Developers build based on the initial snapshot of user requirements. In waterfall-style development the initial requirements are reviewed and approved, then act as the scoping contract. Meeting the terms of the contract is not nearly as satisfying as meeting the users’ expectations. All these factors lead to a natural gap between what is built and what is needed. An approach that frequently releases new BI features to users, hears user feedback, and adapts to change is the single best way to fail fast and correct the course of development.
Among the problems that make Agile difficult to apply to DW/BI development are the following: Tool support. There aren’t many tools that support technical practices such as test-driven database or ETL development, database refactoring, data warehouse build automation, and others that are introduced in this book. The tools that do exist are less mature than the ones used for software development. However, this current state of tool support continues to get better, through both open-source as well as commercial tools.
Agile Analytics: A Value-Driven Approach to Business Intelligence and Data Warehousing (Agile Software Development Series) by Ken W. Collier