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Big Data

Stream Processing with Spark and Storm

The problem with analyzing large volumes of data is latency. First, it takes time to load data. Next, it takes time to analyze it. The results are always out of date because there is always more data. The solution is to perform a continuous analysis of data in motion, or stream processing. In this session, we’ll evaluate two popular, open source stream processors, Spark and Storm, and discuss how they can be integrated with Couchbase Server as a streaming input source or as destination for the output.