Hadoop Hands-On by @techmilind

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This document outlines the agenda and steps for a hands-on session on implementing linear regression using MapReduce on Hadoop. The objective is to use a dataset of fish observations to predict the number of rings on a fish's shell based on other attributes. Attendees will copy sample data to HDFS, generate a larger dataset by replicating and modifying the samples, then use MapReduce to train a linear regression model to predict the number of rings based on the other attributes.

Tecnología

Data Computing Division
Hadoop Hands On
Session
Milind Bhandarkar
Greenplum,A Division of EMC
Monday, February 18, 13

Data Computing Division
Prerequisites
•Make sure you haveVMWare player installed
•VMWare Fusion for Mac OS X
•Copy the GPHD (Greenplum Distribution of
Hadoop v 1.0) virtual machine to your
laptop
•Also copy exercise.zip ﬁle to your laptop,
and decompress
Monday, February 18, 13

Data Computing Division
Setting Up
•Start GPHDVirtual Machine
•Make sure you can login to it
•Copy exercise.zip from your laptop to the
VM, and unzip in ~/exercise
Monday, February 18, 13

Data Computing Division
Preparation
•Make sure HDFS is running
•Make sure MapReduce is running
•Check conﬁguration ﬁles *-site.xml
Monday, February 18, 13

Data Computing Division
Hands-On
•Objective: Implement Linear Regression using
MapReduce, and use it to train a model
•Data Set: from Marine Resources Division,
Department of Primary Industries and
Fisheries,Tasmania
•4177 samples from observations
Monday, February 18, 13

Data Computing Division
Data
•Attributes about a type of ﬁsh
•M/F, Length, Diameter, Height,Weight,
Rings on shell
•Problem:To predict number of rings as a
function of other attributes
Monday, February 18, 13

Data Computing Division
Step 1
•Copy the small sample data set to HDFS
•See: Scripts/cp_to_grid.sh
Monday, February 18, 13

Data Computing Division
Step 2
•Blow up the dataset 1000 times by adding
gaussian noise to most ﬁelds
•Output: 4M sample observations
•Using Hadoop Streaming
•See: Scripts/stream_replicate.sh
•Monitor this job in JobTracker UI
Monday, February 18, 13

Data Computing Division
Step 3
•Train model based on Linear Regression
•See: Scripts/stream_train_linreg.sh
•Monitor the Job
•Copy the model to a local directory
•Check it
Monday, February 18, 13

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Hadoop Hands-On by @techmilind

1. Data Computing Division Hadoop Hands On Session Milind Bhandarkar Greenplum,A Division of EMC Monday, February 18, 13

2. Data Computing Division Prerequisites •Make sure you haveVMWare player installed •VMWare Fusion for Mac OS X •Copy the GPHD (Greenplum Distribution of Hadoop v 1.0) virtual machine to your laptop •Also copy exercise.zip ﬁle to your laptop, and decompress Monday, February 18, 13

3. Data Computing Division Setting Up •Start GPHDVirtual Machine •Make sure you can login to it •Copy exercise.zip from your laptop to the VM, and unzip in ~/exercise Monday, February 18, 13

4. Data Computing Division Preparation •Make sure HDFS is running •Make sure MapReduce is running •Check conﬁguration ﬁles *-site.xml Monday, February 18, 13

5. Data Computing Division Hands-On •Objective: Implement Linear Regression using MapReduce, and use it to train a model •Data Set: from Marine Resources Division, Department of Primary Industries and Fisheries,Tasmania •4177 samples from observations Monday, February 18, 13

6. Data Computing Division Data •Attributes about a type of ﬁsh •M/F, Length, Diameter, Height,Weight, Rings on shell •Problem:To predict number of rings as a function of other attributes Monday, February 18, 13

7. Data Computing Division Step 1 •Copy the small sample data set to HDFS •See: Scripts/cp_to_grid.sh Monday, February 18, 13

8. Data Computing Division Step 2 •Blow up the dataset 1000 times by adding gaussian noise to most ﬁelds •Output: 4M sample observations •Using Hadoop Streaming •See: Scripts/stream_replicate.sh •Monitor this job in JobTracker UI Monday, February 18, 13

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Hadoop Hands-On by @techmilind

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