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Analytics at the Real Time Speed of Business: Spark Summit East talk by Manish Gupta

Redis accelerates Apache Spark execution by 45 times, when used as a shared distributed in-memory datastore for Spark in analyses like time series data range queries. With the redis module for machine learning, redis-ml, implementation of spark-ml models gains a new real time serving layer that offloads processing of models directly in Redis, allows multiple applications to reuse the same models and speeds up classification and execution of these models by 13x. Join this session to learn more about the Redis’ connector for Apache Spark that enhances production implementations of real-time big data processing.