Real-World Data Stream Processing


Using streaming technologies with Kafka Spark Cassandra to effectively gain insights on data. A tremendous stream of data is consumed and created by applications these days. These data include application logs, event transaction logs (errors, warnings), batch job data, IoT sensor data, social media, other external systems data and much many more. All this data flow can be piped through the data pipelines or stages that can give insights and provide tremendous benefits to the organization. As it was mentioned recently in an article in the Economist, "The world's most valuable resource is no longer oil, but data".

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