Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs
- eventhubs
- databricks
- apache-spark
- apache
- microsoft
- spark-streaming
- azure
- kafka
- stream
- connector
- real-time
- ingestion
- structured-streaming
- spark
- bigdata
- scala
- event-hubs
- streaming
- continuous
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)