By Ken W. Collier
Utilizing Agile tools, you could deliver some distance higher innovation, worth, and caliber to any info warehousing (DW), company intelligence (BI), or analytics venture. besides the fact that, traditional Agile tools has to be rigorously tailored to handle the original features of DW/BI tasks. In Agile Analytics, Agile pioneer Ken Collier indicates tips on how to just do that.
Collier introduces platform-agnostic Agile ideas for integrating infrastructures inclusive of various operational, legacy, and distinctiveness structures that blend advertisement and customized code. utilizing operating examples, he indicates tips on how to deal with analytics improvement groups with generally different ability units and the way to help huge, immense and fast-growing information volumes. Collier’s ideas supply optimum worth even if your tasks contain “back-end” information administration, “front-end” company research, or both.
Part I specializes in Agile undertaking administration innovations and supply staff coordination, introducing middle practices that form the best way your Agile DW/BI undertaking neighborhood can collaborate towards success
Part II provides technical equipment for allowing non-stop supply of commercial price at production-quality degrees, together with evolving more desirable designs; test-driven DW improvement; model keep an eye on; and venture automation
Collier brings jointly confirmed options you could practice correct now—whether you’re an IT decision-maker, facts warehouse specialist, database administrator, enterprise intelligence professional, or database developer. together with his aid, you could mitigate venture chance, enhance enterprise alignment, in achieving higher results—and rejoice 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)
Finally, FlixBuster offers movie downloads directly to customers’ computers. FlixBuster has customers who are members and customers who are nonmembers. Customers fall into three buying behavior groups: those who shop exclusively in retail stores, those who shop exclusively online, and those who split their activity across channels. FlixBuster customers can order a rental online or in the store, and they can return videos in the store or via a postage-paid return envelope provided by the company.
Users’ memories of early requirements reviews are fuzzy. It often happens that contractually speaking, a requirement is met by the production system, but users are less than thrilled, having reactions like “What I really meant was . ” Users have high expectations when anticipating a new and useful tool. Left to their own imaginations, users often elevate their expectations of the BI system well beyond what is realistic or reasonable. This only leaves them disappointed when they see the actual product.
PREFACE xxix business value at production-quality levels. This part includes the following chapters: Chapter 6, “Evolving Excellent Design,” shows how the evolutionary design process works and how to ensure that it results in higherquality data models and system components with minimal technical debt. Chapter 7, “Test-Driven Data Warehouse Development,” introduces a collection of practices and tools for automated testing, and for taking a test-first approach to building data warehouse and business intelligence components.