MapR Extends Support for SAS to Deliver Big Storage Independence

MapR Technologies, Inc. has extended its support for SAS Institute, Inc., provider in business analytics software and services.

Joint customers can benefit from interoperability between SAS technologies and the enterprise-grade MapR Distribution including Hadoop. The collaboration between SAS and MapR provides advanced analytics with ease of data preparation and integration with legacy systems, assurance of SLAs, and security and data governance compliance. Additionally, joint customers can cost-effectively grow their big storage infrastructure without relying on SAN or NAS.

“The combined SAS and MapR offerings provide joint customers increased flexibility to use the power of advanced analytics in a Hadoop environment,” said David Shamlin, senior director, research and development, SAS. “SAS continues to invest in developing our High Performance capabilities with Hadoop vendors to ensure customers get the most value out of all their data.“

SAS Visual Analytics
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The collaboration makes available the full scope of technologies in the SAS portfolio, including LASR Analytic Server, Visual Analytics, High-Performance Analytics, and Data Loader for Hadoop. Complete MapR integration delivers security and full POSIX compliance for use in ‘share everything architectures,’ as well as enables Visual Analytics to easily and securely access all data. With Data Loader for Hadoop, users can prepare, cleanse and integrate data inside MapR for improved performance and then load that data in-memory into LASR for visualization or analysis, all without writing code.

SAS Data Loader for Hadoop
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“MapR provides a reliable data store that removes the need for joint customers to rely on SAN or NAS for expansion,” said Steve Campbell, senior director, business development, MapR. “This unique benefit provides a compelling solution for SAS users and we look forward to continuing to grow the number of customers deploying Hadoop environments for big data analytics.“

The MapR Distribution supports major and emerging Apache Hadoop projects with an enterprise-grade platform that supports a broad set of mission-critical and real-time production uses.