Data Warehousing Has Fiscal, Innovative Changes in Store

Published
  • February 09 2011, 3:37pm EST

February 9, 2011 – In-memory and column-store database management systems will greatly impact the cost of business analytics in data warehousing during the next two years, according to a new report from Gartner.

The increase in database management systems (DBMS) activity is two of the nine overall trends outlined by the analyst company in “Data Warehousing Trends for the CIO, 2011-2012.”

The Gartner report suggests that CIOs familiarize themselves with the cost-benefit balance of overhauling or updating technology related to data warehousing. In one trend, the Gartner report points to pricing changes it expects with column-store DBMS due to a shift away from per-user or per-core models and toward cost related to volume of data loaded. Adopting in-memory DMBS might also give some businesses a leg up with their data warehousing through query speed, and could lead to numerous acquisitions for megavendors to keep up, Gartner stated.

Gartner research vice president Mark Beyer said in a news release with the report that the data warehouse still looms large as an information repository and financial obligation for enterprises.

“Only by being aware of the key market trends and how emerging technology solutions will blend with proven practices can the CIO avoid budget waste through ‘misdirection’ by the data warehouse management and delivery team,” said Beyer.

Cloud and open source deployment trends are also anticipated by Gartner to ripple through the data warehouse market. The report indicates that private clouds are emerging as the infrastructure design choice for data warehousing and analytics, and Gartner reports that it expects an increase in the number of open source database management systems used to deploy data warehousing solutions.  

Other trends Gartner expects to take hold through 2012 are further warehouse optimization, an increase in data warehouse appliance purchases, intensive proof of concept performance, more mixed data workloads, and the resurgence of data marts.

The report is available here through Gartner’s website.

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