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Apache Ignite is a distributed in-memory cache, query and processing platform for working with large-scale data sets in real-time (leaving aside, streaming processing, Spark integration, Machine learning grid, Ignite FileSystem, persistence, transactions…)

Have you ever watched the cooking teaching shows? You have probably noticed that chefs have usually already all the ingredients separated and chopped. Likewise, a data scientist will be more useful and creative building models rather than spending time with data preprocessing…


Spark Streaming is one of the most widely used frameworks for real time processing in the world with Apache Flink, Apache Storm and Kafka Streams. However, when compared to the others, Spark Streaming has more performance problems and its process is through time windows instead of event by event, resulting in delay.