Receive telemetry from millions of devices.
Azure Event Hubs is a big data streaming platform and event ingestion service. It can receive and process millions of events per second. Data sent to an event hub can be transformed and stored by using any real-time analytics provider or batching/storage adapters.
Azure Event Hubs connects events from any source to your software systems. This acts as a buffer to provide modular solutions that avoid overwhelming your system during...
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Summary Microsoft Azure Data Explorer is a great resource to ingest and process streaming data. Azure Data Lake Storage is a great resource for storing large amounts of data. The end-to-end...
Stream Analytics no-code editor now supports capturing Event Hubs data into ADLS gen2 with Delta Lake format.
Retain the latest events of an event log by using compacted event hubs or Kafka topics in Azure Event Hubs.
Stream Analytics no-code editor enables you to develop a Stream Analytics job in minutes with drag and drop experience. Now, it is generally available with several new capabilities added.
Explore four new features in the no code editor in Azure Event Hubs. This editor allows you to easily develop a Stream Analytics job without writing a single line of code.
Azure Functions now supports setting a retry policy for Azure Event Hubs and timer triggers.
Load real-time streaming data in Azure Event Hubs to data lakes, warehouses, and other storage services in Parquet format.
Independently throttle your event streaming workloads using application groups and client applications information.