LinkedIn built a new derived data store called Venice to address limitations of their previous system Voldemort. Venice uses Kafka to enable scalable, fault-tolerant processing and replication of both batch-processed and incrementally updated derived data. It processes data through Hadoop jobs to Kafka topics, from which both batch-stored and real-time copies are maintained through Venice and Samza respectively. Kafka Mirror Maker replicates data across data centers for high availability.