SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 70,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world THE POWER TO KNOW® .
Paul Kent, VP of Big Data, SAS
SAS + Hortonworks
By using SAS and Hortonworks solutions, organizations can benefit from the combined power of SAS Analytics with Hadoop data storage and processing and Nifi data movement. SAS’ support for Hortonworks Data Platform and DataFlow will allow enterprises more possibilities of discovering unconstrained analytics faster and more efficiently while quickly accelerating the spread of analytics to all their data. The partnership of SAS and Hortonworks will allow enterprises to run Hortonworks Data Platform; the only 100% open source data platform powered by Apache Hadoop, and Hortonworks DataFlow; an integrated platform to collect, conduct and curate realtime data, with market leading analytics solutions from SAS. The diagram below represents SAS and HDP.
Broad Range of Deployment Options
HDP provides the broadest range of deployment options for Hadoop: from Windows Server or Linux to virtualized Cloud deployments. It is the most portable Hadoop distribution, allowing you to easily and reliably migrate from one deployment type to another. SAS has also launched a new cloud offering, SAS Cloud Analytics. With Hortonworks and SAS, you have the right partner to meet future cloud deployment needs. Hortonworks also provides automated capabilities for backup to Microsoft Azure and Amazon S3, for a seamless recovery strategy for customers’ enterprise data.
HDF and SAS ESP – Advanced Analytics for Data In Motion
By integrating SAS Event Stream Processing (ESP) with Hortonworks Data Flow (HDF), from the Data Center to the Edge and back, an enterprise can enable Modern Data Applications by incorporating Complex Event Processing (CEP) into their data flows.
How Can Streaming Analytics Help My Organization?