Service-Oriented Architecture’s Role in the Emerging Hadoop World
To address Big Data challenges in a cost-effective way, many organizations are turning to Hadoop, an open-source framework. Hadoop enables…
Social Software, Feature or Product?
We have this debate running about social software and whether it's, for the most part anyway, a set of features…
Teradata: All in the Family of Appliances and Big Data
Teradata recently held its Partners User Group meeting (Twitter hashtag #TDPUG11) in San Diego.
Oracle Big Data Appliance and Cloud Computing Stands on Shoulders of Giants
Oracle made several announcements at its recent Open World event demonstrates its strengths in the business computing market but also…
Map and Reduce in MapReduce: a SAS Illustration
In last post, I mentioned Hadoop, the open source implementation of Google’s MapReduce for parallelized processing of big data.
Oracle’s Big Data Appliance to include R
At the Oracle OpenWorld conference in San Francisco today, Oracle announced the new Oracle Big Data Appliance, "a new engineered system…
Revolution Analytics Partners with Cloudera
Revolution Analytics today announced that it has partnered with Cloudera, the leader in Apache Hadoop-based software and services, to make big-data…
Experimentation, Open Source and Big Data
An interesting article in BusinessWeek on Big Data recently caught my eye. The article mentions different applications that allow organizations to…
Analytics Valley: Big Data, Data Scientists and SAS Programmers
Tom Davenport reported an observation that Silicon Valley is becoming more analytical since companies in the Valley such as Google,…
How to Program MapReduce Jobs in Hadoop with R
MapReduce is a powerful programming framework for efficiently processing very large amounts of data stored in the Hadoop distributed filesystem.
