Apache Hadoop on Windows Azure is integrated with a web-based interactive JavaScript console, which allows you to perform

• Perform HDFS operations, including uploading/reading files to/from the HDFS
• Run MapReduce programs from .js scripts or JAR files, and monitor their progress
• Run a Pig job specified using a fluent query syntax in JavaScript, and monitor its progress
• Visualize data with graphs built using HTML5

Once you have built your Hadoop cluster on Windows Azure, you can launch Interactive JavaScript web console directly as below:

After the Interactive JavaScript is launched you can enter a set of commands or your own JavaScript directly from the browser:

For our example we will do the following:

1. Upload a data file to HDFS
2. Run JavaScript to parse the data
3. Run Graph Visualizer with parsed data

Let’s collect some real time data about mobile market share for 2011:

http://www.netmarketshare.com/operating-system-market-share.aspx?qprid=9&qpcustomb=1

Create a txt file locally as mobilesharedata.txt locally:

iOS 52.10 
JavaME 21.27
Android 16.29
Symbian 5.76
BlackBerry 3.51
Other 1.07

Upload this file to HDFS from Interactive JavaScript console:

Verify the file is uploaded:

Let’s read the data this

Now parse the data as below:

Set the graph visualization settings as below:

Now let’s visualize the data in Bar Graph:

js> graph.bar(data, options)

Now let’s visualize the data in Pie Graph:

js> graph.pie(data, options)

Keywords: Windows Azure, Hadoop, Apache, BigData, Cloud, MapReduce