Adding a video

Author: lenadroid

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

@@ -27,17 +27,19 @@ The following scenarios are some of the scenarios where you can use Event Hubs:
 - Archiving data
 - Transaction processing
 - User telemetry processing
-- Device telemetry streaming 
+- Device telemetry streaming
+
+[!VIDEO https://www.youtube.com/watch?v=45wgY-VSk9I]
 
 ## Why use Event Hubs?
 
 Data is valuable only when there is an easy way to process and get timely insights from data sources. Event Hubs provides a distributed stream processing platform with low latency and seamless integration, with data and analytics services inside and outside Azure to build your complete big data pipeline.
 
-Event Hubs represents the "front door" for an event pipeline, often called an *event ingestor* in solution architectures. An event ingestor is a component or service that sits between event publishers and event consumers to decouple the production of an event stream from the consumption of those events. Event Hubs provides a unified streaming platform with time retention buffer, decoupling event producers from event consumers. 
+Event Hubs represents the "front door" for an event pipeline, often called an *event ingestor* in solution architectures. An event ingestor is a component or service that sits between event publishers and event consumers to decouple the production of an event stream from the consumption of those events. Event Hubs provides a unified streaming platform with time retention buffer, decoupling event producers from event consumers.
 
-The following sections describe key features of the Azure Event Hubs service: 
+The following sections describe key features of the Azure Event Hubs service:
 
-## Fully managed PaaS 
+## Fully managed PaaS
 
 Event Hubs is a fully managed Platform-as-a-Service (PaaS) with little configuration or management overhead, so you focus on your business solutions. [Event Hubs for Apache Kafka ecosystems](event-hubs-for-kafka-ecosystem-overview.md) gives you the PaaS Kafka experience without having to manage, configure, or run your clusters.
 
@@ -49,14 +51,14 @@ Ingest, buffer, store, and process your stream in real time to get actionable in
 
 Azure Event Hubs also integrates with [Azure Functions](/azure/azure-functions/) for a serverless architecture.
 
-## Scalable 
+## Scalable
 
-With Event Hubs, you can start with data streams in megabytes, and grow to gigabytes or terabytes. The [Auto-inflate](event-hubs-auto-inflate.md) feature is one of the many options available to scale the number of throughput units to meet your usage needs. 
+With Event Hubs, you can start with data streams in megabytes, and grow to gigabytes or terabytes. The [Auto-inflate](event-hubs-auto-inflate.md) feature is one of the many options available to scale the number of throughput units to meet your usage needs.
 
 ## Rich ecosystem
 
 [Event Hubs for Apache Kafka ecosystems](event-hubs-for-kafka-ecosystem-overview.md) enables [Apache Kafka (1.0 and later)](https://kafka.apache.org/) clients and applications to talk to Event Hubs. You do not need to set up, configure, and manage your own Kafka clusters.
- 
+
 With a broad ecosystem available in various [languages (.NET, Java, Python, Go, Node.js)](https://github.com/Azure/azure-event-hubs), you can easily start processing your streams from Event Hubs. All supported client languages provide low-level integration. The ecosystem also provides you with seamless integration with Azure services like Azure Stream Analytics and Azure Functions and thus enables you to build serverless architectures.
 
 ## Key architecture components
@@ -75,7 +77,7 @@ The following figure shows the Event Hubs stream processing architecture:
 
 ## Next steps
 
-To get started using Event Hubs, see the **Send and receive events** tutorials: 
+To get started using Event Hubs, see the **Send and receive events** tutorials:
 
 - [.NET Core](event-hubs-dotnet-standard-getstarted-send.md)
 - [.NET Framework](event-hubs-dotnet-framework-getstarted-send.md)