Access "Data warehouse lives on: Big data best practices include ties to EDWs"
This article is part of the Issue 2 February 2012 issue of Enterprise data warehouse not dead yet
The growing interest in capturing, storing and analyzing “big data” has prompted many a data management trend spotter to predict the impending demise of the enterprise data warehouse (EDW). But as companies dive deeper into big data deployments, author Mark Twain’s famous remark about a report of his death being an exaggeration may turn out to be a more accurate commentary on the EDW’s future prospects. There’s little doubt that the flood of big data -- large amounts of both structured and unstructured information, often involving multiple data types and frequent data updates -- will require changes in many corporate data warehousing strategies. For the past two decades, IT groups, particularly in large companies, have pursued the development of a single data warehouse that serves as the central repository for all of the structured data within their organizations. Now the validity of that approach is being challenged by the meteoric increase in social media posts and a surge in non-transactional data from sources such as application and Web server logs, ... Access >>>
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Data warehouse lives on: Big data best practices include ties to EDWs
by Beth Stackpole, Contributor
As "big data" systems steal into organizations, the enterprise data warehouse is often depicted as a dinosaur. But it may not be doomed to extinction.
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Managing multiple BI tools doesn't have to be so hard
by Nancy Williams
A multi-tool business intelligence environment may be the norm, but it’s not the ideal. Learn steps you can take to reduce the complexity and increase the effectiveness of your BI installation.
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Data virtualization tools: Are they right for you?
by Mark Brunelli, Senior News Editor
Data virtualization software has moved beyond emerging-technology growing pains, say IT pros and analysts. Now the issue is finding uses that it fits.
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Data warehouse lives on: Big data best practices include ties to EDWs
by Beth Stackpole, Contributor
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