Enterprise data sets have gotten so voluminous that they can’t fit into even the largest data warehouses, many businesses find. Now, companies running these overstuffed data stores have an on-ramp to newfangled, big-data style processing through a combined effort between analytics systems supplier Teradata and Apache Hadoop distribution provider MapR.

The partnership is aimed at letting users of systems based on the Teradata Unified Data Architecture seamlessly use MapR’s distribution of the Hadoop open-source software framework for the distributed processing of big data.

Combining the control tools and support of Teradata — a long-familiar name to enterprises — with a commercially refined Hadoop distribution such as MapR’s offers organizations a potentially easy way to incorporate big data analysis in their operations, without the administrative headaches of setting up and running Hadoop from scratch, Teradata said.

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