Can Data Warehousing Survive Big Data by Arrow and HPWelcome, Guest      sign in | register | help

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Research Abstract
Can Data Warehousing Survive Big Data
by Arrow and HP

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Published on: October 06, 2011
Format: Unknown
Length: 22 pages
Price: FREE


For more than 25 years, data warehousing based on sound information management principles has been the accepted architecture for providing information to support decision makers. ―Big data, however one defines its characteristics, challenges many of the underlying assumptions and principles behind data warehousing, to the extent that some analysts are questioning if the data warehouse will survive much longer. This webinar transcript addresses this question directly and proposes that data warehousing, and information management as a whole, must evolve in a radically new direction to face issues such as consistency vs. timeliness, control vs. freedom of use and implicit meaning vs. shared understanding.

You will Learn:

·         The characteristics and importance of big data

·         How big data challenges the traditional data warehouse architecture

·         How the data warehouse architecture must evolve or die

·         Key considerations for using big data alongside an existing data warehouse environment

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