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?