Event-driven applications made easy with Apache Flink
Who is this presentation for?Data engineers, data architects, developers
Building robust, scalable streaming applications requires good abstractions for managing state and time, and it needs expressive APIs that make it easy to decompose the business logic into operations that can be deployed onto a distributed cluster. Moreover, the runtime has to be fault tolerant and have straightforward mechanisms for supporting application updates, schema evolution, and data migration.
David Anderson and Seth Wiesman take a use case-driven deep dive into parts of Apache Flink, showing how it satisfies these requirements as they develop a ride-sharing application.
- A working knowledge of Java
Materials or downloads needed in advance
- A laptop with at least 8GB of ram and Docker installed
What you'll learn
- Understand that stream processing isn’t just for ETL
- Learn that Apache Flink can support applications requiring complex stateful business logic and does so in a way that feels natural
David Anderson is a training coordinator at Ververica, the original creators of Apache Flink. He’s delivered training and consulting to many of the world’s leading banks, telecommunications providers, and retailers. Previously, he led the development of data-intensive applications for companies across Europe.
Seth Wiesman is a senior solutions architect at Ververica, consulting with clients to maximize the benefits of real-time data processing for their business. He supports customers in the areas of application design, system integration, and performance tuning.
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