Processing Streaming Data with Apache Kafka and KSQL
GOTO Copenhagen 2019Thursday Nov 21
09:00 –
16:00
Room 176/177
5,145.00 DKK
Apache Kafka is a de facto standard event streaming 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!
The Kafka ecosystem 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.
In this workshop, we’ll cover the following:
- How to produce to and consume from a Kafka topic
- Using Kafka Connect to consume data from a relational database
- How to enrich and aggregate streaming data using KSQL
