Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs
- databricks
- continuous
- apache-spark
- azure
- kafka
- apache
- connector
- spark
- ingestion
- structured-streaming
- bigdata
- real-time
- event-hubs
- scala
- eventhubs
- stream
- spark-streaming
- microsoft
- streaming
Scala versions:
2.11
azure-eventhubs-spark-parent 2.2.19
Group ID:
io.github.tilumi
Artifact ID:
azure-eventhubs-spark-parent_2.11
Version:
2.2.19
Release Date:
Jan 11, 2019
Licenses:
Files:
Developers:
libraryDependencies += "io.github.tilumi" %% "azure-eventhubs-spark-parent" % "2.2.19"
ivy"io.github.tilumi::azure-eventhubs-spark-parent:2.2.19"
//> using dep "io.github.tilumi::azure-eventhubs-spark-parent:2.2.19"
import $ivy.`io.github.tilumi::azure-eventhubs-spark-parent:2.2.19`
<dependency> <groupId>io.github.tilumi</groupId> <artifactId>azure-eventhubs-spark-parent_2.11</artifactId> <version>2.2.19</version> </dependency>
compile group: 'io.github.tilumi', name: 'azure-eventhubs-spark-parent_2.11', version: '2.2.19'
