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Kudu provides a combination of fast inserts/updates and efficient columnar scans to enable multiple real-time analytic workloads across a single storage layer. Kudu is specifically designed for use cases that require fast analytics on fast (rapidly changing) data. Engineered to take advantage of next-generation hardware and in-memory processing, Kudu lowers query latency significantly for Apache Impala (incubating) and Apache Spark (initially, with other execution engines to come).

Come to this meetup and you will listen Sergio Rodriguez de Guzman, our CTO, speaking about this storage engine.

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