Data Accelerator for Apache Spark simplifies onboarding to Streaming of Big Data. It offers a rich, easy to use experience to help with creation, editing and management of Spark jobs on Azure HDInsights or Databricks while enabling the full power of the Spark engine.
azure
docker
react
nodejs
iot
cosmosdb
spark
hdinsight
big-data
spark-streaming
spark-sql
streaming
apache-spark
servicefabric
kafka
streaming-data
iothub
sparksql
eventhub
kafka-streams
Обновлено 2024-11-11 09:31:50 +03:00
Event Hubs extension for Azure Functions
Обновлено 2024-07-20 01:36:52 +03:00
Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs
azure
microsoft
spark
event-hubs
eventhubs
streaming
databricks
stream
apache-spark
bigdata
apache
spark-streaming
kafka
scala
connector
structured-streaming
ingestion
continuous
real-time
Обновлено 2024-06-11 23:11:35 +03:00
Golang client library for Azure Event Hubs https://azure.microsoft.com/services/event-hubs
Обновлено 2024-04-19 15:33:13 +03:00
C# and F# language binding and extensions to Apache Spark
csharp
fsharp
spark
dataset
bigdata
spark-streaming
streaming
apache-spark
rdd
dataframe
dstream
eventhubs
kafka-streaming
mapreduce
mobius
near-real-time
Обновлено 2024-01-30 22:45:57 +03:00
Azure Event Hubs for Apache Kafka Ecosystems
Обновлено 2023-09-06 01:01:53 +03:00
Azure AMQP abstractions for Golang contains common types and interfaces for use in Service Bus and Event Hubs.
Обновлено 2023-08-30 17:21:42 +03:00
Node client library for Azure Event Hubs https://azure.microsoft.com/services/event-hubs
typescript
sdk
amqp
eventhubs
receive-events
receive-messages
send-events
batch
eph
event-processor-host
Обновлено 2019-04-10 20:16:44 +03:00
Akka Reactive Streaming for Azure Event Hubs
Обновлено 2017-10-03 07:26:53 +03:00