Getting Started with Event Stream Processing via Apache Flink on Microsoft Azure
summary
Apache Flink runs batch and streaming from the same APIs and deploys on Azure via VM Scale Sets, Azure Kubernetes Service or partner platforms (Cloudera, Verica); there is currently no fully managed Flink on Azure. Integrations include Kafka endpoints (Confluent Cloud, Event Hubs, HDInsight), sinks via JDBC to Postgres/MySQL/SQL Server, Cosmos DB (Mongo/Cassandra APIs) and streaming file sink to Blob/ADLS Gen2 targeted for Flink 1.14. Use cases shown: retail inventory, finance claims, healthcare and IoT for near‑real‑time processing.
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chapters (6)
- 0:00Introduction and welcome
- 1:54Motivations for stream processing
- 6:07How stream processing works
- 10:22Deployment options on Azure
- 12:31Integration with Azure services
- 14:40Summary and getting started
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