MapR Unveils New Teradata Connector for More Efficient Data transfer
MapR recently announced the availability of a new connector for Teradata, providing high speed, parallel connections from Teradata to the MapR Converged Data Platform. The new connector improves bulk data transfers and enables scalable agile analytics across the ecosystem. In addition, it is also certified for use in an Informatica Big Data environment for simpler and faster integrations between MapR and Teradata.
The new connector, based on the Teradata Connector for Hadoop (TDCH), enables higher speed data transfers between MapR and Teradata, optimizing ecosystem environments and providing performant access to analytics data due to parallelization across cluster nodes. The new connector leverages the popular open source data integration tool Apache Sqoop and is certified for use in Informatica Big Data Management as part of an organization-wide data integration technology.
The company’s Senior Vice President of Data and Applications Jack Norris speaks to the announcement: “We continue to work closely with Teradata to ensure our customers have a powerful multi-temperature data analytics environment. The new connector ensures more seamless integrations in big data deployments that include both MapR and Teradata using popular technologies like Informatica Big Data Management as well as open source tools.”
Available now in version 5.2 and the recently released MapR Ecosystem Pack (MEP) 2.0, customers can immediately leverage the new connector with Teradata 15.10.
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