Storm – Real-time data procession

Storm real-time data processor: while Hadoop is mainly used for batch processing of data Storm aims to help in real-time data stream procession in a fault-tolerant and scalable manner.

Amongst many, some use cases of Storm can be low-latency dashboards and real-time security alerts.

Storm can be used with any data programming languages and can be run in a Hadoop environment.

 

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