Tag Archives: Hadoop

Big Analytics Roundup (March 30, 2015)

Lots of Spark news this week, following last week’s Sparkalanche, plus some other non-Spark news just to show that Big Analytics isn’t entirely about Spark. Alteryx In IntelligentHQ, Maria Fonseca interviews Alteryx COO George Mathew, argues that analytics is for people.  Left unanswered: who else it could be for. Analytic Startups Analytics vendor Ayasdi lands a $55 million “C” round.

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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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Still More Comments on Microsoft and Revolution Analytics

Three full business days post-announcement, and stories continue to roll in. Stephen Sowyer of TDWI writes an excellent summary of what Microsoft will likely do with Revolution Analytics.  He correctly notes, for example, that Microsoft is unlikely to develop a business user interface for R with code-generating capabilities (comparable to SAS Enterprise Guide, for example).  This is difficult to do,

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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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Spark Summit 2014 Roundup

Key highlights from the 2014 Spark Summit: Spark is the single most active project in the Hadoop ecosystem Among Hadoop distributors, Cloudera and MapR are clear leaders with Spark SAP now offers a certified Spark distribution and integration with HANA Datastax has delivered a Cassandra connector for Spark Databricks plans to offer a cloud service for Spark Spark SQL will absorb

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