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