Merge pull request #246109 from spelluru/ehubindex0724

Schema Registry link was missing

Author: prmerger-automator[bot]

articles/event-hubs/explore-captured-avro-files.md

@@ -18,20 +18,12 @@ You can verify that captured files were created in the Azure Storage account usi
 
 An easy way to explore Avro files is by using the [Avro Tools][Avro Tools] jar from Apache. You can also use [Apache Drill][Apache Drill] for a lightweight SQL-driven experience or [Apache Spark][Apache Spark] to perform complex distributed processing on the ingested data. 
 
-## Use Apache Drill
-[Apache Drill][Apache Drill] is an "open-source SQL query engine for Big Data exploration" that can query structured and semi-structured data wherever it is. The engine can run as a standalone node or as a huge cluster for great performance.
-
-A native support to Azure Blob storage is available, which makes it easy to query data in an Avro file, as described in the documentation:
-
-[Apache Drill: Azure Blob Storage Plugin][Apache Drill: Azure Blob Storage Plugin]
-
-To easily query captured files, you can create and execute a VM with Apache Drill enabled via a container to access Azure Blob storage. See the following sample: [Streaming at Scale with Event Hubs Capture](https://github.com/Azure-Samples/streaming-at-scale/tree/main/eventhubs-capture-databricks-delta).
 
 ## Use Apache Spark
 [Apache Spark][Apache Spark] is a "unified analytics engine for large-scale data processing." It supports different languages, including SQL, and can easily access Azure Blob storage. There are a few options to run Apache Spark in Azure, and each provides easy access to Azure Blob storage:
 
 - [HDInsight: Address files in Azure storage][HDInsight: Address files in Azure storage]
-- [Azure Databricks: Azure Blob storage][Azure Databricks: Azure Blob Storage]
+- [Azure Databricks: Azure Blob storage][Azure Databricks: Azure Blob Storage]. See the following sample: [Streaming at Scale with Event Hubs Capture](https://github.com/Azure-Samples/streaming-at-scale/tree/main/eventhubs-capture-databricks-delta).
 - [Azure Kubernetes Service](../aks/spark-job.md) 
 
 ## Use Avro Tools

articles/event-hubs/index.yml

@@ -29,6 +29,8 @@ landingContent:
             url: event-hubs-about.md
           - text: Event Hubs for Apache Kafka
             url: azure-event-hubs-kafka-overview.md
+          - text: Schema Registry
+            url: schema-registry-overview.md
           - text: Event Hubs Capture
             url: event-hubs-capture-overview.md            
           - text: Event Hubs Premium