SAS and Hortonworks enhance Hadoop capabilities

CARY, USA: SAS and Hortonworks has announced a strategic alliance that will expand SAS business analytics and data management capabilities on enterprise Apache Hadoop. With SAS business analytics and the Hortonworks data platform, organizations can easily incorporate or extend Hadoop as a component to their modern data architecture.

This allows businesses to use powerful SAS analytics across massive data sets, including new data sources that previously could not be captured and analyzed, such as social media, clickstream, IT server log, machine and sensor, and geolocation data.

Until recently Hadoop has been primarily used as a cost-effective, flexible data storage environment for big data. Organizations now aim to apply analytics against these vast data stores to uncover new competitive insights to grow revenue, increase customer satisfaction and strengthen their brand's value.

"Data scientists and business analysts need to easily and quickly explore, visualize and analyze big data stored in Hadoop in an interactive and collaborative environment. SAS provides domain-specific analytics and data management capabilities natively on Hadoop to reduce data movement and take advantage of Hadoop's distributed computational power," said Randy Guard, SAS VP of Product Management.

SAS analytics and data management offerings for Hadoop strongly complement Hadoop data management tools, such as MapReduce, Pig, Hive and others, enabling users to uncover more value from their Hadoop-based data in such areas as analytics, metadata management, data lineage and security.

Built and packaged by the core architects of Apache Hadoop, Hortonworks Data Platform (HDP) includes the necessary components to help refine and explore new data sources and find new business insights.

As the only 100 percent open-source data management platform for Apache Hadoop, HDP is increasingly becoming a core component of enterprise data management systems as it allows organizations to cost-effectively capture, process and share data in any format and at any scale.