Jul 2013
8 Mon
9 Tue
10 Wed
11 Thu 09:30 AM – 04:30 PM IST
12 Fri 10:15 AM – 05:30 PM IST
13 Sat 10:15 AM – 05:30 PM IST
14 Sun
Prashanth Babu
Participants will learn:
Hadoop is predominantly for batch processing. Did you ever wonder how to process Big Data in real-time? If yes, this workshop is for you.
To give an example, trends in Twitter are powered by Storm; Tweets are analyzed in real-time to find the trending topics / hashtags using Storm.
This workshop will introduce the basics of Storm and its salient features. We will discuss how Storm is similar / different from Hadoop. We will also run through the source of WordCount example and its demo. And finally we will discuss how Hadoop and Storm together can help process Big Data seamlessly.
If time permits, we will also check a simple demo of real-time processing of tweets using Storm.
Brief outline of the session has been uploaded to Slideshare, which is also embedded in slides section below.
Please check the slidedeck and let me know if you have any feedback and / or comments on the outline of the workshop.
Note: For this session, we will be using Storm Local Mode for developing and testing the code. So, any laptop with JDK and Maven should suffice.
Prashanth Babu is a Research Engineer with NTT DATA. He is working on an R & D initiative on Big Data using Apache Hadoop Ecosystem. He is also Cloudera Certified Developer for Apache Hadoop [CCDH].
http://www.slideshare.net/prashanthvvbabu/big-data-realtime-processing-and-storm
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