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Full Description
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.
Contents
1. Solving Enterprise DataWarehousing's "Fundamental Problem”
Part I Summaries of Generic Agile Development MethodsPart II Review of Fast EDW Coding and Risk MitigationPart III Agile EDW Requirements ManagementPart IV Agile EDW Data EngineeringPart V Agile EDW Quality Management PlanningPart VI Integrating the Pieces of the Agile EDW Method
