In-memory analytics to help enterprises flourish by arming them with
SAS® In-Memory Statistics for Hadoop will enable multiple users to simultaneously and interactively manage, explore and analyze data, build and compare models, and score massive amounts of data in Hadoop. The Hadoop open source framework is widely considered the future of big data. Expected in the first half of 2014, SAS’ software will greatly boost productivity for data scientists.
“SAS In-Memory Statistics for Hadoop loads Hadoop data once and keeps it in memory for multiple analyses within a session - across multiple users,” said Oliver Schabenberger, SAS Senior Director,
The SAS in-memory architecture offers unprecedented speed - an absolute requirement for finding value in massive amounts of data. The same in-memory analytics technology that powers the popular SAS Visual Analytics also underpins SAS In-Memory Statistics for Hadoop.
“Data scientists, modelers and statisticians no longer need a patchwork of tools because we’re eliminating the need for different analytic programming languages. SAS In-Memory Statistics for Hadoop supports the entire range of analytics, providing a fast, powerful and comprehensive means for collaborative analysis,” said Schabenberger.
Among the numerous supported statistical and machine learning modeling techniques in SAS In-Memory Statistics for Hadoop are: clustering, regression, generalized linear models, analysis of variance, decision trees, random decision forests, text analytics and recommendation systems.
Please visit the SAS booth (#701) at the Strata event or attend “Fast and Furious - Big Data Analytics Meets Hadoop,” at
Industry analyst firmIDC expects Hadoop to reach
“Hadoop represents significant benefit to enterprises whose accumulated data holds tremendous value. SAS is committed to providing the industry’s best analytics to those deploying this promising big data architecture,” said
He noted that SAS’ strategic relationships with
Hadoop spreads data over large clusters of commodity servers and performs processes in parallel. It also detects and handles failures, which is critical for distributed processing. In addition to low distributed hardware cost and the safety net of data redundancy, Hadoop’s notable advantages include:
To learn more about Hadoop and big data analytics, please view this webinar. (http://go.sas.com/vx43q1)
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 65,000 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®. SAS and all other