Stream processing using Flink from a non-JVM lens

This session is an introduction to designing stream processing workloads using Apache Kafka and Apache Flink. This session also describes the development components of Apache Flink and the need to run managed Flink engines on cloud. Code samples would be presented as part of illustrating stream processing concepts. But, it is not a hands-on keyboard workshop.

Speaker
Diptiman Raichaudhuri
Developer Advocate at Confluent, ex-AWS Data Analytics Specialist, ex-Google Cloud - Data platform specialist. Designed and implemented ‘Modern Data Platforms’ for large scale enterprise use cases. Works at the intersection of Data (Spark, Flink, Kafka, Kinesis, Redshift, Iceberg, Glue, Hive) and AI (torch,sagemaker,vertex ai,kubeflow) at cloud scale (AWS and Google Cloud).
https://www.linkedin.com/in/diptimanrc/