Using R to Unlock the Value of Big Data: Big Data Analytics with Oracle R Enterprise and Oracle R Connector for Hadoop by Mark Hornick, Tom Plunkett

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 ebook
ISBN: 9780071824385
Publisher: McGraw-Hill Professional Publishing
Format: pdf
Page: 84

Executive Summary Today the term big data draws a lot of attention, but behind the hype there's a simple .. 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. 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. 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. Oct 19, 2011 - Oracle unveiled the Big Data Appliance, the newest addition to its line of products that combine software and hardware, during the OpenWorld conference in San Francisco yesterday. What does the connector look like? Worlds by properly leveraging these new features. Jul 22, 2012 - Streaming Analytics. Apr 19, 2014 - Solution Spectrum 6. Only after a Many NoSQL's were limited by their nature to key/value serving. However, big data also involves high velocity data in motion. From this analysis, there are important takeaways. 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. 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. Apr 1, 2014 - Since the mainstream adoption of Hadoop, many open-source and enterprise tools have emerged recently which aim to solve the problem of “querying Hadoop”. The new appliance includes a distribution of the open source Hadoop programming framework, Oracle Data Integrator Application Adapter for Hadoop, Oracle Loader for Hadoop, a distribution of the R open-source statistical analysis software, and the Oracle NoSQL database. Hadoop is well suited to handle large volumes of data at rest. 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. Indeed, Hadoop started as a simple (yet powerful) Big Data framework consisting of (1) a storage layer (HDFS, inspired by GFS) and (2) a processing layer (an implementation of MapReduce).