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Hadoop Mashups - Serving HDFS data in Yahoo Pipes, IFTTT recipe, Zapier zap

“Hadoop  is backend…it is for batch…it is for Google, Facebook … how does a web developer come in to picture…”
Lets dispel some perception… and demonstrate an architectural flow for pulling data from HDFS right into a Yahoo Pipe, IFTTT recipe or Zapier zap.

1- Setup Hadoop, HDFS with data coming in the nodes

2- Write the MapReduce algorithms to process the data you want

3- Setup Hive or HBase or Voldemort or your preferred DB/warehouse option depending on your interest.

4- Setup Struts/Spring based application in Eclipse/RAD/your preferred IDE with supported web server like WAS 7.0/JBoss

5- Write a program to fetch the data from Hive (or other variants mentioned in step 3 above), format it, render as RSS response and provide servlet to serve it back as response

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns=""
    <bean id="hadoopFeedGenerationAction" class="com.hadoop.rss.action.hadoopFeedGenerationAction"
          init-method="checkInitialization" scope="prototype">
        <property name="generator" ref="hadoopFeedGenerator"/>      
    <bean id="hadoopItemDAO" class="com.hadoop.rss.dao.hadoopItemDAOImpl" init-method="checkInitialization">
        <property name="jdbcTemplate" ref="jdbcTemplate"/>
    <bean id="hadoopFeedFormatter" class="com.hadoop.rss.formatter.hadoopFeedFormatterImpl"
        <property name="description" value="channel desc"/>
        <property name="link" value=""/>
        <property name="title" value="channel title"/>
        <property name="contentTemplate">
<tr><td>Request Id</td><td>%requestId%</td></tr>
<tr><td>Type Code</td><td>%requestTypeCode%</td></tr>
<tr><td>Requester Web Id</td><td>%requesterWebId%</td></tr>
<tr><td>Step start time</td><td>%stepStartTime%</td></tr>
<tr><td>Link to item</td><td>%requestLink%</td></tr>
        <property name="rssFeedGenerator" ref="rssFeedGenerator"/>
        <property name="itemTitle" value="item title"/>

Sample xml file excerpt for RSS generation – use case: transaction data fetch

6- Deploy and host the .war on a public server

7- Mash up RSS feed in the pipe or recipe or zap.


Use case examples:
1-      Need a live index of words in documents uploaded by users
2-      Weather data served right from the Hadoop crunchers to AJAX renderers

Contact Sachin Ghai for further details on this Hadoop hack.


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