توضیحات
ارسال کتاب های زبان اصلی در بازه 8 الی 12 روزه انجام میشود.
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https://www.amazon.com/Agile-Data-Warehousing-Enterprise-Architects/dp/0123964644
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Agile Data Warehousing for the Enterprise
by Ralph Hughes (Author)
Building upon his earlier book that detailed agile data warehousing programming techniques for the Scrum master, Ralph’s latest work illustrates the agile interpretations of the remaining software engineering disciplines:
Requirements management benefits from streamlined templates that not only define projects quickly, but ensure nothing essential is overlooked.
Data engineering receives two new “hyper modeling” techniques, yielding data warehouses that can be easily adapted when requirements change without having to invest in ruinously expensive data-conversion programs.
Quality assurance advances with not only a stereoscopic top-down and bottom-up planning method, but also the incorporation of the latest in automated test engines.
Use this step-by-step guide to deepen your own application development skills through self-study, show your teammates the world’s fastest and most reliable techniques for creating business intelligence systems, or ensure that the IT department working for you is building your next decision support system the right way.
Review
“Agile Data Warehousing, as outlined in Ralph’s multiple books, has transformed the way our BI team manages projects. In just two years, we are delivering releases in iterations three times more frequently on five times the number of concurrent projects, while improving application quality and the enterprise nature of our solutions.” –Mark Giesbrecht, Senior Manager, Business Intelligence, major Canadian railroad
“Agile Data Warehouse for the Enterprise is a must read for any data professional tasked with delivering enterprise reporting and analytics in the nimble, speed-to-value environment that we find ourselves today. It marries agile methodology with data warehousing best practices to create a blueprint to deliver value fast.” –Nik Green, Director of Business Intelligence for multi-billion dollar
