Analyzing Twitter Data With Storm In HDInsight

Nischal S shows how to configure an HDInsight cluster to process tweets, followed by loading them into a Power BI dashboard:

When we need to process streams of real-time data, Storm is a great contender. Examples of streaming data are the number of consumer clicks and navigations on a website, IIS or user logs, IoT data, and social network information. In all these scenarios, we use real-time data processing. Apache Storm can process real-time unbounded streams of data.

The term “unbounded” defines streams of data with no start or end. Here, the processing of data is continuous and in real-time. Twitter is a good example. Twitter data is continuous, has no start or end time, and is provided in real-time by millions of Twitter users around the world.

Storm wouldn’t rank in my top three technologies for doing this, but it certainly does the job.

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