Episode 173: Storm with Asad Khan

In this episode Chris Risner and Haishi Bai are joined by Asad Khan, Principle Program Manager on the HDInsight team.  Asad joins us to talk about handling real-time streaming using Storm on Azure HDInsight.  This enables you to analyze your data as it is coming in as opposed to waiting and querying it some time in the future.  Storm is easy to program against, highly scalable, fast, and reliable.  Storm works with Spouts which are points of ingesting data and Bolts which handle performing computation and logic with the data.  Asad also talks about Trident, which is a high-level abstraction which makes it even easier to work with Storm.  Also shown is the templates in Visual Studio for creating Storm applications and how you can deploy them to Storm on HDInsight.  Finally, Asad shows how to create a Twitter sentiment analysis application using Storm.

Links from the show:

• Big Data and Microsoft
• HDInsight on Azure
• Storm on HDInsight
• Companies using Storm
• Apache Storm on GitHub
• Storm Documentation at HortonWorks
• How Spotify Scales Apache Storm

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