Teradata Turns Data Warehouse Platforms into Single Logical Entity

Mike Vizard
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Six Details Your Big Data Provider Won't Tell You

Continuing its campaign to expand the definition and scope of data warehouses, Teradata today announced that it has created a software-defined data warehouse while also moving to extend its ability to consolidate run SQL queries on additional distributions of Hadoop.

As an enhancement to its core database, Teradata’s Sofware-Defined Warehouse allows IT organizations to manage multiple data warehouses as if they were one logical entity. At the same time, Teradata is offering Secure Zones, a feature of the Teradata Database that allows IT organizations to isolate access to specific sets of data.

Teradata is also announcing four extensions to its Teradata QueryGrid software. The first two extensions involve integration with distributions of Hadoop from Cloudera along with updates to Teradata Grid for the Hortonworks distribution of Hadoop and the pending availability of a connector to the distribution of Hadoop from MapR Technologies. Using Apache Hive software running on Cloudera, queries can now be launched from either a Teradata data warehouse or the Aster Data massively parallel database that Teradata acquired in 2011.

At the same time, Teradata has extended Teradata QueryGrid software to launch queries on Aster Data databases or from another Teradata data warehouse.


Imad Birouty, director of technical product marketing at Teradata, says that regardless of which underlying platform is used, Teradata is enabling IT organizations to leverage their investments in Teradata applications against multiple sources of data. In fact, rather than thinking in terms of Hadoop cannibalizing traditional data warehouses, Birouty says it’s become clear that IT organizations are thinking in terms of augmenting their data warehouses by leveraging Hadoop to lower the cost of storing massive amounts of data.

Regardless of what happens inside the data warehouse itself, the applications that organizations rely on to analyze trends today are not likely to be thrown out any time soon. As such, it’s more than probable that the data warehouse will continue to evolve in ways that include an increasingly broader array of data management platforms and technologies.



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