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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

ORE integrates the popular open-source R statistical programming environment with Oracle Database 11g, Oracle Exadata and the Oracle Big Data Appliance, delivering enterprise-level analytics based on R scripts and Tags: advanced_analytics hadoop oracle oracle_r_enterprise ore r. May 28, 2013 - As the volume of data to analyze kept increasing and the need to react in real-time became more pressing, new approaches to BI came to life: the so-called Big Data problem was recognized and a range of tools to deal with it started to emerge. Apache So how do you feed real-time data into Hadoop? Through Oracle's Unified Information Architecture, customers can easily and cost-effectively integrate Hadoop and NoSQL platforms with their data warehousing and business analytics solutions to maximize the value of big data. R has a huge array of possibilities for connecting to databases, Big Data solutions, and processing all kinds of files and documents, including save files from other statistics packages. Worlds by properly leveraging these new features. Feb 3, 2012 - Oracle R Enterprise (ORE), a component in the Oracle Advanced Analytics Option of Oracle Database Enterprise Edition, emerges as the clear solution to these challenges. Several Oracle's customers Avi started on the management side, Enterprise Manager 12c can be used on Oracle Linux servers for administration, monitoring, patching and provisioning. Mar 31, 2014 - The analytic data management Apache Hadoop-based company, Cloudera, announced to have raised the remarkable amount of $900 million in a series of financing round which The aim of the collaboration is accelerating customer adoption of big data solutions, helping companies to have bigger opportunity to increase the value of business data by making use of Apache Hadoop solutions open source. 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 8, 2011 - But given that the most cutting-edge cloud analytics is happening in Hadoop clusters, it's just a matter of time — one to two years, tops — before all EDW vendors bring Hadoop into their heart of their architectures. Getting business value out of Hadoop is a difficult problem without adding the extra difficulty of sizing the hardware. Nov 1, 2013 - Oracle Big Data Appliance is based on the Cloudera Distribution (CDH), and the Oracle Big Data Connectors can be plugged on a Hadoop cluster running the CDH distribution or equivalent Hadoop clusters. Jun 13, 2013 - This support also extends the scope of Talend's integration across the full spectrum of transactional, operational and analytic data sources found in enterprise big data environments. Jan 11, 2012 - I look at why a company would want a Hadoop appliance and compare the 3 on the market:Oracle's Big Data appliance, Netapp's Hadooplers and EMC's Greenplum DCA. The following sections provide ideas about Big Data features in the popular SQL Server databases; a similar analysis will be performed against Oracle also in a later article. Nov 15, 2013 - Oracle Big Data Appliance Incorporating Big Data into your enterprise can result in opportunities to transform your business, but the growing volume and complexity of big data can also pose a challenge. Sep 24, 2013 - 04.04.2014 in Oracle Database 12c: Blog Nicolas Jardot Oracle Open World 2013: 2nd day - VirtualBox, Oracle Linux and Big Data Some connectors are available and you can use R or directly SQL to filter data from "key, value" structured data. There are In this post we will look at how Mule's HDFS Connector can help you write time series data in HDFS, ready to be map-reduced to your heart's content.