Process real-time big data with Twitter Storm An introduction to streaming big data

Hadoop, the clear king of big-data analytics, is focused on batch processing. This model is sufficient for many cases (such as indexing the web), but other use models exist in which realtime information from highly dynamic sources is required. Solving this problem resulted in the introduction of Storm from Nathan Marz (now with Twitter by way of BackType). Storm operates not on static data but on streaming data that is expected to be continuous. With Twitter users generating 140 million tweets per day, it's easy to see how this technology is useful.