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Using R to Unlock the Value of Big Data: Big Data Analytics with Oracle R Enterprise and Oracle R Connector for Hadoop Mark Hornick, Tom Plunkett
Publisher: McGraw-Hill Professional Publishing

All were once exotic concepts, but all are quite mainstream today. Jun 14, 2013 - The combination of data integration with business intelligence is a critical factor for business intelligence companies in large part because big data integration is essential to big data analytics. Tableau was among the first vendors to introduce a connector for HCatalog, which permits it to extract data from Hadoop and HDFS; Tableau also markets optimized connectors Oracle and SQL Server, as well as a connector for SAP HANA. On the Oracle big data pages it seems like there is some confusion as to whether R will run a custom Oracle version or an Open Source version. Oct 3, 2011 - Included in that list is the Apache distribution of Hadoop, Oracle Loader for Hadoop, Oracle Data Integrator Adapter for Hadoop, the Oracle NoSQL Database, and Oracle's R Enterprise. Oracle Brings Enhancements to Business IntelligenceIn "Big Data". And I've met enough architects who have that gleam in their eye to be encouraged :). Sep 27, 2007 - That's to be expected: I remember the early days of cloud, big data, etc. The ability to In the area of predictive analytics, IBI has embedded RStat, which uses the open source R statistical language and can be accessed vr_predanalytics_predictive_analytics_obstacles within . Nov 19, 2013 - “The new capabilities of the HP Vertica Analytics Platform deliver immediate value and rapidly 'shine a light' on formerly dark data—unlocking the value hidden in both traditional and emerging forms of big data.” HP Vertica Crane offers Extend built-in analytics and leverage existing investments with the new Java software development kit (SDK), adding to the HP Vertica Analytics Platform's existing support for C/C++ and the R statistical language. Jun 4, 2013 - It's part of a focus on retail, where big data problems abound, big data analytics can pay big dividends, and the perceived misuse of analytic technology (or its scarily prescient predictions) can pose big problems.