Nine Key Data Warehousing Trends for the CIO in 2011 and 2012
Optimization, flexible designs and alternative strategies will become more important as the demand for BI and business analytics increases.
As business intelligence changes, the data warehouse needs to change with it. And it is changing, according to a new Gartner report titled "The State of Data Warehousing in 2011."
In 2011, we are seeing data-warehouse platforms evolve from an information store supporting traditional business intelligence platforms to a broader analytics infrastructure supporting operational analytics, corporate performance management and other new applications and uses, such as operational BI and performance management.
Vendors must tweak their data warehouse platforms to take advantage of advances in computing and processing capacity. Dealing with growing volumes of data is a continuing challenge. Gartner is predicting 2011 will be an "inflection point" for the data warehouse.
BI appears to be at an inflection point as well, judging by remarks from SAP's Timo Elliott at this week's ITWeb BI Summit in South Africa. Not surprisingly, considering SAP's strategic direction for BI, Elliott touted in-memory technologies, which he said "provides efficient data storage in much less space than traditional row-based databases."
In another report titled "Data Warehousing Trends for the CIO, 2011-2012," Gartner says in-memory technologies "exhibit extremely fast query response and data commit times and introduce a higher probability that analytics and transactional systems can share the same database."
Some of the other trends mentioned in the report:
For the entire list of trends, check out the IT Business Edge slideshow.
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