Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs
- spark-streaming
- real-time
- scala
- spark
- databricks
- eventhubs
- streaming
- apache
- apache-spark
- microsoft
- connector
- kafka
- continuous
- ingestion
- bigdata
- azure
- event-hubs
- stream
- structured-streaming
Scala versions:
2.11
Latest version
[](https://index.scala-lang.org/azure/azure-event-hubs-spark/spark-streaming-eventhubs)
JVM badge
[](https://index.scala-lang.org/azure/azure-event-hubs-spark/spark-streaming-eventhubs)