Conference: Nov 5-7, 2018
Workshops: Nov 8–9, 2018
Workshop: Introduction to Stream Processing and Apache Flink
Location:
- Seacliff B
When:
- Friday
Prerequisites
- Basic programming experience in Java or Scala necessary to participate in the exercises
- Knowledge of stream- or batch processing frameworks is helpful, but not necessary
Over the last years, data stream processing has redefined how many of us build data pipelines. Apache Flink is one of the systems at the forefront of that development: With its versatile APIs (event-time streaming, Stream SQL, events/state) and powerful execution- and operations model, Flink has been part of re-defining what stream processing can do. By now, Apache Flink powers some of the largest data stream processing pipelines in the world.
This workshop will give an introduction to Apache Flink's concepts and architecture, and give you a hands-on tutorial where you create a streaming application, receiving events from Apache Kafka and process them with Flink's DataSteam API and Streaming SQL.
Here is what you will learn:
- A brief introduction to stateful stream processing
- The architecture of Apache Flink: abstractions, execution, concepts for managing stateful streaming applications
- Introduction to Flink's DataStream API
- Basic concepts of Flink's Stream SQL API
- How to connect Flink to Kafka
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