Session
Unlocking No-Code Data Pipelines with Beam YAML: A Flink-Centric Exploration of Practical Use Cases
Apache Beam offers a powerful unified programming model, but its SDK-centric approach can sometimes present a steep learning curve for users less familiar with traditional coding or the intricacies of distributed systems. Enter Beam YAML: a game-changing declarative syntax that empowers users to define and execute complex data pipelines without writing a single line of code.
This session will provide a practical, Flink-centric exploration of Beam YAML, demonstrating how it significantly lowers the barrier to entry for data processing. We'll begin with an overview of Beam YAML's core concepts, illustrating its intuitive, human-readable structure for defining sources, transforms, and sinks. Attendees will discover how familiar Beam operations translate seamlessly into declarative YAML, enabling rapid pipeline prototyping and deployment.
Crucially, we'll dive into compelling, real-world use cases, showcasing how Beam YAML can be leveraged effectively on Apache Flink.
Attendees will leave with a clear understanding of when and how to leverage Beam YAML to accelerate their data initiatives on Flink. We'll discuss its benefits for data analysts, domain experts, and even seasoned engineers seeking to simplify and standardize pipeline definitions. Join us to discover how Beam YAML is making unified batch and stream processing more accessible and efficient than ever before.

Talat Uyarer
Senior Staff Software Engineer at Google
San Francisco, California, United States
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