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The debate over “Agile” versus “Waterfall” approaches to software and IT project development spans decades. Recently, however, that debate has become even more predominant in industry discussions about data warehousing and business intelligence. In fact, the “debate” is hardly that – it seems almost everyone is advocating agile data warehousing development, and for good reason: Agile data warehousing strikes to the heart of the most common and persistent challenges of business intelligence:
  • Constantly changing business requirements that change on a monthly or even daily basis
  • A never-ending BI backlog of requests
  • The skyrocketing amount of data and new sources that need to be analyzed and consumed