Despite all the hubbub and hype around Hadoop, few business intelligence (BI) and data warehousing (DW) professionals know much about what Hadoop is, how it does what it does, or in which situations they should deploy it. Because of the newness and complexity of Hadoop, there are several points of confusion that are holding back BI/DW professionals and other people:
Hadoop and related technologies have been with us for over five years now, but BI/DW professionals have only recently started exploring them, motivated by the rise of big data analytics. The business advantages of big data analytics are the leading reasons why BI/DW professionals need to know more about Hadoop now. Despite the short-term confusion, TDWI anticipates that Hadoop techniques will soon become a common complement to older BI/DW approaches.
To help BI/DW professionals and other people prepare for the eventual widespread use of Hadoop and its extended ecosystem, this Checklist Report drills into common points of confusion. It clarifies these points and reveals the true value of Hadoop for BI, DW, big data, and analytics.
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