Processing Streaming Data with KSQL

Apache Kafka is a de facto standard streaming data processing platform, being widely deployed as a messaging system, and having a robust data integration framework (Kafka Connect) and stream processing API (Kafka Streams) to meet the needs that common attend real-time message processing. But there’s more! Kafka now offers KSQL, a declarative, SQL-like stream processing language that lets you define powerful stream-processing applications easily. What once took some moderately sophisticated Java code can now be done at the command line with a familiar and eminently approachable syntax. Come to this talk for an overview of KSQL with live coding on live streaming data. **What will the audience learn from this talk?** he audience will learn the very basics of Apache Kafka, why a stream processing framework is necessary, and how to perform common stream-processing operations with KSQL. **Does it feature code examples and/or live coding?** Yes it does **Prerequisite attendee experience level:** This is a [level 200](https://gotocph.com/2019/pages/experience-level) talk