Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs
- spark
- stream
- databricks
- eventhubs
- kafka
- streaming
- spark-streaming
- apache
- azure
- event-hubs
- microsoft
- bigdata
- real-time
- ingestion
- structured-streaming
- connector
- scala
- apache-spark
- continuous
Scala versions:
2.11
azure-eventhubs-spark-parent 2.3.7
Group ID:
io.github.tilumi
Artifact ID:
azure-eventhubs-spark-parent_2.11
Version:
2.3.7
Release Date:
Dec 20, 2018
Licenses:
Files:
Developers:
libraryDependencies += "io.github.tilumi" %% "azure-eventhubs-spark-parent" % "2.3.7"
ivy"io.github.tilumi::azure-eventhubs-spark-parent:2.3.7"
//> using dep "io.github.tilumi::azure-eventhubs-spark-parent:2.3.7"
import $ivy.`io.github.tilumi::azure-eventhubs-spark-parent:2.3.7`
<dependency> <groupId>io.github.tilumi</groupId> <artifactId>azure-eventhubs-spark-parent_2.11</artifactId> <version>2.3.7</version> </dependency>
compile group: 'io.github.tilumi', name: 'azure-eventhubs-spark-parent_2.11', version: '2.3.7'
