A presentation at LISA 18 in in Nashville, TN, USA by Robin Moffatt
Have you ever thought that you needed to be a programmer to do stream processing and build streaming data pipelines? Think again!
Apache Kafka is a distributed, scalable, and fault-tolerant streaming platform, providing low-latency pub-sub messaging coupled with native storage and stream processing capabilities. Integrating Kafka with RDBMS, NoSQL, and object stores is simple with the Kafka Connect API, which is part of Apache Kafka. KSQL is the open-source SQL streaming engine for Apache Kafka, and makes it possible to build stream processing applications at scale, written using a familiar SQL interface.
In this talk we’ll explain the architectural reasoning for Apache Kafka and the benefits of real-time integration, and we’ll build a streaming data pipeline using nothing but our bare hands, the Kafka Connect API, and KSQL.
Gasp as we filter events in real time! Be amazed at how we can enrich streams of data with data from RDBMS! Be astonished at the power of streaming aggregates for anomaly detection!
This will be a practical talk, after which attendees will have a clear idea of the power of stream processing, and how to get started with it using the open-source Apache Kafka and KSQL projects.