Apache Flink 101 | Building and Running Streaming Applications

In this meetup, you will learn:
* What are the common use-cases for Apache Flink and why it is different from other streaming frameworks
* How to design and implement streaming applications using Flink’s DataStream API
* How to use Flink’s connectors, state management, checkpoints and save points to integrate with external systems and ensure fault-tolerance
* How to deploy and manage Flink clusters on Kubernetes using the Flink operator
* How to leverage Flink’s batch & streaming unification to handle both bounded and unbounded data sources
About Speaker:
Robert Metzger is a staff software engineer at decodable. He oversees the core Flink-based data platform at decodable powering the SQL-based SaaS stream processing platform. Besides this role, he’s a committer and the PMC Chair of the Apache Flink project. He has co-created Flink and contributed many core components of the project over the years. He previously co-founded and successfully exited data Artisans (now Ververica), the company that created and commercialized Flink. Robert Metzger is frequently speaking and writing about Flink, stream processing and related technologies.

[@AP-eh6gr]

exactly what Im looking for

[@nabeelriaz8154]

so If all my task managers fail and I manually restart job after two hours, will stream messages that arrive in those two hours be lost?

[@manusharma8777]

Very clear!

[@SunitiJain-ev4nk]

can we have ppt's link?