Criar um Site Grátis Fantástico


Total de visitas: 18852
Using R to Unlock the Value of Big Data: Big Data

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



Download eBook

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


Sep 5, 2012 - With Big Query, Google has developed a data analytics solution that offers an easy to use and quickly scalable framework for looking at massive amounts of data in the cloud within a traditional SQL framework. 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. Feb 27, 2012 - In an age where we shift from transactions to engagement and then to experience, the forces of social, mobile, cloud, and unified communications add two more big data characteristics that should be considered when seeking insights. The book discusses the strategies and technologies essential for a successful big data implementation, including Apache Hadoop, Oracle Big Data Appliance, Oracle Big Data Connectors, Oracle NoSQL Database, Oracle Endeca, Oracle Advanced Analytics, and Oracle's open source R offerings. Apr 9, 2013 - This is assumed since you're looking for enterprise ODBC connectivity which is a key indicator that your big data initiative is proving business value across the organization. Apr 29, 2014 - At the same time, big companies are standing up Hadoop installations to store, process, and analyze lots of different kinds of data. Viscosity Add your comments to the blog or send us a comment at R (at) SoftwareInsider (dot) org or R (at) ConstellationRG (dot) com. These characteristics highlight the importance and complexity required to solve context in big data. Only after a Many NoSQL's were limited by their nature to key/value serving. May 18, 2014 - They'll tell you how you can integrate your existing Oracle solutions with big data systems, using each where appropriate and moving data between them as needed. Jun 27, 2011 - IBM has indicated that it sees Hadoop as a cornerstone of its big data strategy, in which IBM is building software packages that run on top of Hadoop. Cloudera and MongoDB will jointly “help enterprises define long-term, successful big data strategies and manage modern data,” according to a statement. What does the connector look like? 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. Oct 4, 2011 - Unlike other Hadoop loaders, it generates Oracle internal formats to load data faster and use less database system resources. Two major companies pushing those technologies — MongoDB and Cloudera — now see value in teaming up in their quest to outrun incumbents like IBM, Oracle, and SAP. 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).

Preface to Marketing Management book download