Tag Archives: SAS High Performance Analytics

Software for High Performance Advanced Analytics

Strata+Hadoop World week is a good opportunity to update the list of platforms for high-performance advanced analytics.  Vendors are hustling this week to announce their latest enhancements; I’ll post updates as needed. First some definition.  The scope of this analysis includes software with the following properties: Support for supervised and unsupervised machine learning Support for distributed processing Open platform or multi-vendor

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SAS in Hadoop: An Update

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

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Distributed Analytics: A Primer

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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Strata Report: Advanced Analytics in Hadoop

Here is a quick review of the capabilities for advanced analytics in Hadoop for five vendors at the recent Strata NYC conference: 0xData Alpine Data Labs Oracle SAS Skytree 0XData Product(s) H20 (open source project) h2o (R package) Description Smart people from Stanford with VC backing and a social media program.   Services business model with open source software.  H20 is an

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