SAS supports several different products that run “inside” Hadoop based on two different in-memory architectures: (1) The SAS High Performance Analytics suite, originally designed to run in dedicated Teradata and Greenplum appliances, includes five modules: Statistics, Data Mining, Text Mining, Econometrics and Optimization. (2) A second set of products — SAS Visual Analytics, SAS Visual Statistics and SAS In-Memory Statistics for Hadoop
Read moreFor an overview of Spark, see the Apache Spark Page. On September 11, the Spark team announced release of Spark 1.1. This latest version of Spark includes a number of significant enhancements: As announced at the Spark Summit, Shark is now converged with Spark SQL. Databricks has migrated its Shark workloads to Spark, and reports 2X-5X performance improvement. The
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Can we leverage distributed computing for machine learning and predictive analytics? The question keeps surfacing in different contexts, so I thought I’d take a few minutes to write an overview of the topic. The question is important for four reasons: Source data for analytics frequently resides in distributed data platforms, such as MPP appliances or Hadoop; In many cases, the
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Funding for analytic ventures remained robust in January, with 17 significant funding transactions and three acquisitions. Key themes: Outcomes-based medicine and health care Vertical solutions for the energy industry Solutions for risk management Mobile analytics, including location-based targeting and app metrics Social media sentiment analysis Graph engines (and solutions based on graph engines) In-memory SQL engines All funding news
Read moreUpdated and bumped July 10, 2014. For a powerpoint version on Slideshare, go here. Introduction Apache Spark is an open source distributed computing framework for advanced analytics in Hadoop. Originally developed as a research project at UC Berkeley’s AMPLab, the project achieved incubator status in Apache in June 2013 and top-level status in February 2014. According to one analyst, Apache Spark is among the five
Read moreSAS and SAP announced a “strategic partnership” today at the SAP TechEd show. According to SAS’ press release, SAP and SAS will partner closely to create a joint technology and product roadmap designed to leverage the SAP HANA® platform and SAS analytics capabilities. By incorporating the in-memory SAP HANA platform into SAS applications and enabling SAS’ industry-proven advanced analytics algorithms
Read moreSAS’ recent announcement of an alliance with Hortonworks marks a good opportunity to summarize SAS’ Hadoop capabilities. Analytic enterprises are increasingly serious about using Hadoop as an analytics platform; organizations with significant “sunk” investment in SAS are naturally interested in understanding SAS’ ability to work with Hadoop. Prior to January, 2012, a search for the words “Hadoop” or “MapReduce”
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SAS charged its sales force with selling 2,000 licenses for Visual Analytics in 2013; the jury is still out on whether they met this target. There’s lots of marketing action lately from SAS about this product, so here’s an FAQ. Update: SAS recently announced 1,400 sites licensed for Visual Analytics. In SAS lingo, a site corresponds roughly to one machine,
Read moreMichael Kinsley wrote: It used to be, there was truth and there was falsehood. Now there is spin and there are gaffes. Spin is often thought to be synonymous with falsehood or lying, but more accurately it is indifference to the truth. A politician engaged in spin is saying what he or she wishes were true, and sometimes, by coincidence,
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This post is more than two years old, but remains popular. For an updated discussion, read How to Buy SAS Visual Analytics on this blog. Thanks to a white paper recently published by an H-P engineer, we now have a better idea about what it takes to implement SAS Visual Analytics, SAS’ in-memory BI and visualization platform. (Note: SAS has
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