![Directly store streaming data into Azure Data Lake with Azure Event Hubs Capture Provider | Data, Streaming, Azure Directly store streaming data into Azure Data Lake with Azure Event Hubs Capture Provider | Data, Streaming, Azure](https://i.pinimg.com/736x/26/b5/c1/26b5c14b3dc93d808899ef7d15cb5418.jpg)
Directly store streaming data into Azure Data Lake with Azure Event Hubs Capture Provider | Data, Streaming, Azure
![Event Hubs: Capturar eventos de streaming mediante Azure Portal - Azure Event Hubs | Microsoft Learn Event Hubs: Capturar eventos de streaming mediante Azure Portal - Azure Event Hubs | Microsoft Learn](https://learn.microsoft.com/es-es/azure/event-hubs/media/event-hubs-capture-enable-through-portal/event-hubs-capture3.png)
Event Hubs: Capturar eventos de streaming mediante Azure Portal - Azure Event Hubs | Microsoft Learn
![Capturing of events streaming through Azure Event Hubs to an Azure Blob Storage|Ekascloud | English - YouTube Capturing of events streaming through Azure Event Hubs to an Azure Blob Storage|Ekascloud | English - YouTube](https://i.ytimg.com/vi/Y70Vt_fh6t4/sddefault.jpg)
Capturing of events streaming through Azure Event Hubs to an Azure Blob Storage|Ekascloud | English - YouTube
Azure Event Hubs - Capture event streams in Parquet format to data lakes and warehouses - Microsoft Community Hub
GitHub - msatmsft/event-hub-replay: Solution architecture and source code for azure event hub message reply using event hub capture to azure storage account
![Capture streaming data using Azure Event Hub, Azure Stream Analytics, Power BI | K21 Academy - YouTube Capture streaming data using Azure Event Hub, Azure Stream Analytics, Power BI | K21 Academy - YouTube](https://i.ytimg.com/vi/kek_1KfOoJU/sddefault.jpg)
Capture streaming data using Azure Event Hub, Azure Stream Analytics, Power BI | K21 Academy - YouTube
GitHub - msatmsft/event-hub-replay: Solution architecture and source code for azure event hub message reply using event hub capture to azure storage account
![Clemens Vasters 🇪🇺📨 on Twitter: "A noteworthy aspect of #EventHubs is that it is not just a streaming engine similar to (and compatible with) Kafka, but also a stream-to-batch engine that drops Clemens Vasters 🇪🇺📨 on Twitter: "A noteworthy aspect of #EventHubs is that it is not just a streaming engine similar to (and compatible with) Kafka, but also a stream-to-batch engine that drops](https://pbs.twimg.com/media/FP2pMgVVUAYpa_x.jpg:large)
Clemens Vasters 🇪🇺📨 on Twitter: "A noteworthy aspect of #EventHubs is that it is not just a streaming engine similar to (and compatible with) Kafka, but also a stream-to-batch engine that drops
![Clemens Vasters 🇪🇺📨 on Twitter: "And since #EventHubs is now wire-compatible with #Apache #Kafka 1.0, not only do the clients work, but the tools do, too. We explicitly aimed to make Mirror Clemens Vasters 🇪🇺📨 on Twitter: "And since #EventHubs is now wire-compatible with #Apache #Kafka 1.0, not only do the clients work, but the tools do, too. We explicitly aimed to make Mirror](https://pbs.twimg.com/media/DctQ7SbUQAENIiD.jpg)
Clemens Vasters 🇪🇺📨 on Twitter: "And since #EventHubs is now wire-compatible with #Apache #Kafka 1.0, not only do the clients work, but the tools do, too. We explicitly aimed to make Mirror
![Process Azure Event Hubs data using Azure Data Factory Mapping Data Flows | by Inderjit Rana | Microsoft Azure | Medium Process Azure Event Hubs data using Azure Data Factory Mapping Data Flows | by Inderjit Rana | Microsoft Azure | Medium](https://miro.medium.com/v2/resize:fit:1200/1*UC4EHCgkAFoK2Pn9bLbF9g.jpeg)