Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs
- spark-streaming
- eventhubs
- scala
- event-hubs
- connector
- continuous
- microsoft
- bigdata
- structured-streaming
- real-time
- streaming
- kafka
- spark
- stream
- azure
- apache-spark
- apache
- ingestion
- databricks
Scala versions:
2.11
azure-eventhubs-spark-parent 2.3.47
Group ID:
io.github.tilumi
Artifact ID:
azure-eventhubs-spark-parent_2.11
Version:
2.3.47
Release Date:
May 22, 2019
Licenses:
Files:
Developers:
libraryDependencies += "io.github.tilumi" %% "azure-eventhubs-spark-parent" % "2.3.47"
ivy"io.github.tilumi::azure-eventhubs-spark-parent:2.3.47"
//> using dep "io.github.tilumi::azure-eventhubs-spark-parent:2.3.47"
import $ivy.`io.github.tilumi::azure-eventhubs-spark-parent:2.3.47`
<dependency> <groupId>io.github.tilumi</groupId> <artifactId>azure-eventhubs-spark-parent_2.11</artifactId> <version>2.3.47</version> </dependency>
compile group: 'io.github.tilumi', name: 'azure-eventhubs-spark-parent_2.11', version: '2.3.47'