In-Memory Analytics for Big Data


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Source: SAS
Date: May 2012
Type: White Paper
Rating: (1)

Overview: This paper describes the SAS® LASR™ Analytic Server - a new breed of distributed in-memory analytic architecture for the next generation of high-performance analytics. SAS LASR Analytic Server's unmatched performance and scalability provide the ability to answer questions that previously were computationally infeasible. It enables users to explore data and analyze a variety of big data problems, including areas such as risk management, customer intelligence, revenue optimization, and assortment and merchandise planning.

Built using industry-standard hardware, market-leading advanced analytics software and in-memory technology, SAS provides an optimized system that delivers highly precise answers to all your business questions with unmatched speed, intelligence and simplicity while providing enterprise-class manageability and security.

The paper reviews how the hardware architecture and enterprise-class features of Teradata and Greenplum data warehouse appliances make them excellent vehicles to deliver SAS in-memory technology. The benefits of SAS LASR Analytic Server running within distributed computing environments such as Hadoop are also discussed.

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