Emerging database technologies
Of late, the industry has seen the emergence of business intelligence
and data warehousing as a major factor influencing business decisions. Businesses
have gone past the ‘applications’ phase to a phase where useful, accurate
and timely information from application data is being used to make better business
decisions.
Databases have also begun to align with this shift in customers’ needs.
They continue to be the heart of transaction processing; but there is a definite
shift in focus towards providing databases that support superior performance
as far as reporting, analytics and data mining are concerned. The trend towards
the use of databases for mining useful, accurate information has led to the
creation of a new category of databases.
“Sybase IQ uses a patented columnar architecture that
provides superior performance in querying and reporting. It works with any transactional
database at the back end and with any reporting software on the front,”
said Sudesh Prabhu, Director - Presales and Services, Sybase India.
Moreover, the adoption of specialty servers is growing and customers are moving
away from increasingly constrained row-based databases for analytics and data
warehousing. There is greater demand for advanced analytics to uncover business
opportunities and risk, thereby driving demand for forecasting, predictive modeling
and data mining. The market is also seeing the integration of all data types
into BI, wherein traditional plus streaming data, non-relational/ unstructured
data, (XML data, geospatial data and media) is taking place.
Some of the other latest databases that are being deployed by Indian organizations
are Oracle 11g (includes high availability solution), SQL Server 2008 (also
includes high availability solution), and DB2/UDB V9.0.
Meanwhile, many of the latest database technologies not only
help in solving exotic data warehouse or other intensive number-crunching problems
but also real-world data management problems.
Sophisticated analytics to outsmart the competition is emerging as a must-have
business practice in many industries. Vast amounts of current and historical
data must be run against intricate analytical models to accurately predict future
outcomes.
However, these analytics systems are where the data explosion has had the most
impact. Implementing more efficient analytics software, therefore, can solve
not only the data explosion and its byproduct (rampant energy use) but also
dramatically increase the speed, scalability, and flexibility of business intelligence.
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