Agile Data Warehousing for the Enterprise: A Guide for Solution Architects and Project Leaders (Paperback)

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 managements 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.

• Learn how to quickly define scope and architecture before programming starts
• Includes techniques of process and data engineering that enable iterative and incremental delivery
• Demonstrates how to plan and execute quality assurance plans and includes a guide to continuous integration and automated regression testing
• Presents program management strategies for coordinating multiple agile data mart projects so that over time an enterprise data warehouse emerges
• Use the provided 120-day road map to establish a robust, agile data warehousing program

在他早期的書中，Ralph詳細介紹了Scrum master的敏捷數據倉儲編程技術，他的最新作品展示了剩餘軟件工程學科的敏捷解釋：

- 需求管理受益於簡化的模板，不僅可以快速定義項目，還可以確保不會遺漏任何重要內容。
- 數據工程學引入了兩種新的“超級建模”技術，使數據倉儲在需求變化時可以輕鬆適應，而無需投資於昂貴的數據轉換程序。
- 質量保證不僅采用了立體式自上而下和自下而上的計劃方法，還融入了最新的自動化測試引擎。

通過這本逐步指南，您可以通過自學來深化自己的應用程序開發技能，向您的團隊展示創建商業智能系統的世界上最快速、最可靠的技術，或者確保為您工作的IT部門正確地構建下一個決策支持系統。

- 學習如何在編程開始之前快速定義範圍和架構
- 包括使迭代和增量交付成為可能的流程和數據工程技術
- 展示如何計劃和執行質量保證計劃，並提供連續集成和自動回歸測試指南
- 提供協調多個敏捷數據集市項目的程序管理策略，以實現企業數據倉儲的逐步建立
- 使用提供的120天路線圖來建立一個強大的、敏捷的數據倉儲計劃