fixed broken link

Author: spelluru

articles/event-hubs/event-hubs-about.md

@@ -30,7 +30,7 @@ It ensures data compatibility and consistency across event producers and consume
 Ingest, buffer, store, and process your stream in real time to get actionable insights. Event Hubs uses a [partitioned consumer model](event-hubs-scalability.md#partitions), enabling multiple applications to process the stream concurrently and letting you control the speed of processing. Azure Event Hubs also integrates with [Azure Functions](../azure-functions/index.yml) for a serverless architecture.
 
 ## Capture event data
-Capture your data in near-real time in an [Azure Blob storage](https://azure.microsoft.com/services/storage/blobs/) or [Azure Data Lake Storage](https://azure.microsoft.com/services/data-lake-store/) for long-term retention or micro-batch processing. You can achieve this behavior on the same stream you use for deriving real-time analytics. Setting up capture of event data is fast. There are no administrative costs to run it, and it scales automatically with Event Hubs [throughput units](event-hubs-scalability.md#throughput-units) or [processing units](event-hubs-scalability.md#processing-units). Event Hubs enables you to focus on data processing rather than on data capture. For more information, see [Event Hubs Capture]([event-hubs-capture-overview.md).
+Capture your data in near-real time in an [Azure Blob storage](https://azure.microsoft.com/services/storage/blobs/) or [Azure Data Lake Storage](https://azure.microsoft.com/services/data-lake-store/) for long-term retention or micro-batch processing. You can achieve this behavior on the same stream you use for deriving real-time analytics. Setting up capture of event data is fast. There are no administrative costs to run it, and it scales automatically with Event Hubs [throughput units](event-hubs-scalability.md#throughput-units) or [processing units](event-hubs-scalability.md#processing-units). Event Hubs enables you to focus on data processing rather than on data capture. For more information, see [Event Hubs Capture](event-hubs-capture-overview.md).
 
 ## Scalable
 With Event Hubs, you can start with data streams in megabytes, and grow to gigabytes or terabytes. The [Autoinflate](event-hubs-auto-inflate.md) feature is one of the many options available to scale the number of throughput units or processing units to meet your usage needs.