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The increasing demand to manage real-time data (RTD) resulted in growing adoption of stream processing systems. Organizations can no longer wait for nightly batch jobs to process data and then take actions. In this talk we show how the powerful combination of KSQL, Kafka and ScyllaDB can help you implement scalable stream processing applications. We present a real-time streaming pipeline where massive amounts of data are ingested into Kafka, then processed by KSQL to keep the real-time results in ScyllaDB tables. Whenever you query the ScyllaDB tables you are sure you have the latest results at your fingertips.