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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 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
Format: pdf
Page: 84
Publisher: McGraw-Hill Professional Publishing

Oracle R Enterprise makes the popular R statistical programming language and environment ready for the enterprise and big data. Hadoop is synonymous with big data, developed by the Apache Foundation. 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”. What does the connector look like? Aug 6, 2013 - Analytic capabilities are accessible through two interfaces: SQL and/or the open source R language. Jul 11, 2013 - We also took the chance to pass the word about Mark's and Tom's new book called: “Using R to Unlock the Value of Big Data: Big Data Analytics with Oracle R Enterprise and Oracle R Connector for Hadoop” by Oracle Press. 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). The Oracle R Enterprise R transparency layer: The transparency layer allows an R user to directly interact with database-resident data using R language constructs. An open source software framework, Hadoop is designed for highly data intensive distributed computing, written in Java. Oracle Data Mining provides Oracle R Enterprise. Only after a Many NoSQL's were limited by their nature to key/value serving. 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. Worlds by properly leveraging these new features.