Azure Event Hubs is primarily designed for event streaming and real-time data ingestion, but it doesn't store events permanently by default. However, it can integrate with other Azure services for long-term storage and future analysis.
How Azure Event Hubs stores and integrates for future use:
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Event Hubs Retention (Temporary Storage):
- Azure Event Hubs has a retention period (up to 7 days), during which the events are temporarily stored within the Event Hub.
- This retention allows consumers to read events that they might have missed, but it does not guarantee long-term storage beyond the retention period.
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Event Hubs Integration with Other Services for Long-Term Storage:
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To store data for long-term analysis, you typically integrate Event Hubs with services like Azure Blob Storage, Azure Data Lake, or Azure Synapse Analytics.
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Azure Stream Analytics:
- You can stream data from Event Hubs to Azure Stream Analytics and then output the processed data to Azure Blob Storage or Azure Data Lake for future analysis.
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Azure Functions:
- You can use Azure Functions to process events as they arrive in Event Hubs and store them in Azure Blob Storage for later use. This allows you to create a custom pipeline for event processing and storage.
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Azure Databricks:
- You can also connect Event Hubs with Azure Databricks for real-time analytics and then store the results in a long-term data lake or database for future analysis.
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Example Workflow for Storing Data from Event Hubs:
- Event Hubs captures real-time events.
- Use Azure Stream Analytics to process the data and store the results in Azure Blob Storage.
- The data in Blob Storage is available for long-term storage, analytics, and querying.
Key Points to Remember:
- Event Hubs provides temporary storage for events (up to 7 days) for real-time processing.
- For long-term storage, integrate Event Hubs with services like Azure Blob Storage, Azure Data Lake, or other analytics solutions.
This setup ensures that your events are available for future use and analysis while leveraging the real-time processing capabilities of Event Hubs.
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