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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

From this analysis, there are important takeaways. Also, its a startup with potential in terms of the database market (MSSQL,Oracle,Mysql). May 28, 2013 - When I put out calls for nominees through my Story Source Newsletter, HARO, Twitter, etc., for my upcoming CIO.com story, “10 Big Data Startups to Watch,” I received more than 100 recommendations. In your choice for a BI and Data warehouse applications and a comparison of vendors it is important to know what the goal is for your BI Data Warehouse. Sep 21, 2013 - Often used in conjunction with Hadoop to deliver a powerful Big Data resolution for complex analytics and data processing, the MongoDB-Hadoop connector has enabled enterprises to easily pull data from MongoDB with From Big Data Management Systems to Platform-as-a-Service, the following sessions from Oracle will provide attendees with the latest solutions and strategies. BizCloud(R) Joins Red Hat OpenStack Cloud Infrastructure Partner Network. Cloudera recently released Impala, a new open-source interactive query engine for Hadoop that enables interactive querying on massive data sets in real time. Aug 17, 2013 - Real-Time BI has become a big issue these days. Jan 2, 2014 - I do not think foreign keys where the most important feature for NDB, but I know that it has been requested for a long time by many Oracle customers, and it can certainly help in many cases. Oct 23, 2013 - Unclear value proposition — It is unclear if the company is positioning DataStax Enterprise to target big data scenarios, where it faces stiff competition from vendors of Apache HBase and Hadoop, or if it is targeting the operational DBMS market. The 21st century, with the advent of web and mobile applications, has been so far the playground for even more innovative products, most of them under the umbrella of two overused terms, Big Data and NoSQL.