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Teradata Updates Warehouse Miner


The upgrade includes a new feature that enables business users to drag and drop analytic functions from an index and run them against a data warehouse to discover patterns in customer, financial and operational data.

By Antone Gonsalves
Intelligent Enterprise
June 15, 2008 10:44 PM

Teradata has added to its Warehouse Miner product a new data mining feature called user defined functions that provide analytic consistency within a business.

The new function is a part of Warehouse Miner 5.2, released last week and the latest upgrade of the product from the database vendor. UDFs are embedded data mining models and methods that are listed in an index from which users can select prepackaged functions that are linked to detailed data.

Within a Windows desktop environment, business users can drag and drop the needed analytic function from a list of UDFs and run it against a data warehouse to discover patterns in customer, financial and operational data. The value of UDFs is that they are shareable and reusable among business users, Teradata said.

The latest version of Warehouse Miner embeds 50 new statistical data mining functions from Teradata partners SAS and Visual Numerics into the vendor's database. "Our customers can now use data mining for more than long-range strategic planning; the results of the predictive analytics can be infused in real time into operational applications to support front-line business operations," Scott Gnau, chief development officer for Teradata, said in a statement.

The Warehouse Miner upgrade supports SAS's recently announced Scoring Accelerator for Teradata, which eliminates the need for manual translation of the SAS scoring code into SQL.

Teradata in April launched a lineup of appliances spanning data warehousing needs for corporate departments and analytic marts to large scale enterprise-class warehouses. All the appliances run on the Teradata 12 database. The appliances compete with products from Netezza, DATAllegro and Greenplum.


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