DST partners with MapR Technologies

Shashi Kanth, Sales Manager, Data Science Technologies
Shashi Kanth, Sales Manager, Data Science Technologies
Data Science Technologies (DST) partnered with MapR Technologies, the provider of the top-ranked distribution for Apache Hadoop. With this partnership, DST will be able to offer enterprises in the Middle East cutting-edge technologies to address key big data challenges for business critical applications.

“Enterprises in the business of data have the most to gain from the MapR Distribution including Apache Hadoop. MapR provides full data protection, no single points of failure, improved performance, and ease of use advantages to data-driven enterprises. This partnership enables DST to add its Big Data skills strength to the reliability, scalability and performance of the MapR enterprise-grade platform, delivering one the most comprehensive offerings for Hadoop applications.” said Shashi Kanth, Sales Manager, Data Science Technologies.

MapR is a proven, enterprise-grade platform that supports a broad set of mission-critical and real-time production uses. Enabling organisations to successfully leverage the power of Hadoop, MapR provides a secure multi-tenant environment with high availability, disaster recovery, consistent snapshots, and the best in-Hadoop database, MapR-DB, to reliably run both operational and analytical processing in one platform.

As part of the agreement, DST will market and offer the MapR Enterprise Edition, the MapR Enterprise Database Edition and the MapR Sandbox for Hadoop in the UAE, KSA, Bahrain, Kuwait, Qatar and Oman to help enterprise customers quickly and effortlessly capture critical big data insights.

“Data Science Technologies offers deep knowledge in enterprise-class big data deployments and we look forward to working with them as we extend our presence in the Middle East,” said Xavier Guerin, vice president of business development for EMEA, MapR Technologies. “The company is a great addition to the MapR Advantage Partner program.”

Comments

Comments