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Solution Spotlight Presents,[object Object]
Integrating R and Hadoop,[object Object],Part of Revolution Analytics’ ,[object Object],Big Analytics Strategy,[object Object],Contact us at info@revolutionanalytics.com,[object Object],2,[object Object]
Outline,[object Object],Introduction to Revolution Analytics,[object Object],Opportunity and Challenges of Big Analytics,[object Object],Revolution Analytics’ Support of Integration between R and Hadoop,[object Object],Contact Info,[object Object]
Open Source Analytics for the Enterprise,[object Object],[object Object],The professor who invented analytic software for the experts now wants to take it to the masses,[object Object],[object Object]
2M+ Users
2,500+ ApplicationsFinance,[object Object],Statistics,[object Object],Life Sciences,[object Object],Predictive Analytics,[object Object],Manufacturing,[object Object],Retail,[object Object],Data Mining,[object Object],Telecom,[object Object],Social Media,[object Object],Visualization,[object Object],Government,[object Object]
Revolution has garnered tremendous attention from media and analysts,[object Object]
Big Analytics, Big Advantages,[object Object],Big Analytics could be,[object Object],Simple algorithms running on “Big Data”,[object Object],Compute-intensive algorithms running on either “Big Data” or small data sets,[object Object],Advanced Analytic routines for data visualization or statistical analysis,[object Object]
Extracting Value with Big Analytics,[object Object],Big Analytics’ Advantages,[object Object],Predict the Future,[object Object],Understand Risk and Uncertainty,[object Object],Embrace Complexity,[object Object],Identify the Unusual,[object Object],Think Big,[object Object],7,[object Object]
Big Analytics Challenges	,[object Object],Computations are data intensive (i.e. require large amounts of data),[object Object],To be effective, must rely on data parallelism,[object Object],Data is distributed across compute nodes,[object Object],Same task is run in parallel on each of the data partitions,[object Object],Examples of distributed computing frameworks that support data parallelism,[object Object],Traditional file based analytics using on-premise clusters,[object Object],Hadoop and MapReduce,[object Object],In-Database Analytics using parallel hardware architectures,[object Object],8,[object Object]
Key Objectives for Big Analytics Deployments,[object Object],Best performance is achieved when these Big Analytics challenges are overcome:,[object Object],Avoid sampling / aggregation; ,[object Object],Reduce data movement and replication; ,[object Object],Bring the analytics as close as possible to the data and; ,[object Object],Optimize computation speed. ,[object Object],Revolution Analytics’ support for R and Hadoop helps overcome these challenges,[object Object]
Revolution Analytics’ RevoConnectRsfor Hadoop,[object Object],RevoHDFS provides connectivity from R to HDFS and RevoHBase,[object Object],Allows an R programmer to manipulate Hadoop data stores directly from HDFS and HBASE,[object Object],RevoHStream allows MapReduce jobs to be developed in R and executed as Hadoop Streaming jobs ,[object Object],Gives R programmers the ability to write MapReduce jobs in R using Hadoop Streaming,[object Object]
R/Hadoop – Revolution Analytics,[object Object],HDFS,[object Object],HBASE,[object Object],[object Object]
Hadoop Streaming package for executing MapReduce jobs from R.R,[object Object],Map Reduce,[object Object],Task Tracker,[object Object],Task Node,[object Object],R Client,[object Object],Job Tracker,[object Object]
RevoHDFS,[object Object],R package for working with HDFS,[object Object],Connect and Browse HDFS,[object Object],Read/Write/Delete/Copy/Rename files,[object Object],Examples:,[object Object],Read an HDFS text file into a data frame,[object Object],Serialize a data frame to HDFS,[object Object],Stream lines from HDFS text file that can be used with biglm or bigglm,[object Object],12,[object Object]
RevoHBase,[object Object],R Package for working with HBASE,[object Object],Connect and Browse HBASE,[object Object],Get Rows/Columns of an HBASE table,[object Object],Write data to HBASE table,[object Object],Create/Delete HBASE table,[object Object],Examples,[object Object],Create a data frame in R from a collection of Rows/Columns from HBASE,[object Object],Update an HBASE table with values from a data frame,[object Object],13,[object Object]
RevoHStream,[object Object],RevoHStream – R package capable of performing the following types of Analysis using Hadoop Streaming,[object Object],Simulations - Monte Carlo and other Stochastic analysis,[object Object],R ‘apply’ family of operations (tapply, lapply…),[object Object],Binning, quantiles, summaries and crosstabs for input to displays (ggplot, lattice).,[object Object],Data transformations,[object Object],Data Mining,[object Object],14,[object Object]

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