Merge pull request #220025 from spelluru/asaownership1130

Sid left MS. Updated ms.author

Author: v-ccolin

articles/stream-analytics/capture-event-hub-data-parquet.md

@@ -1,8 +1,8 @@
 ---
 title: Capture data from Azure Data Lake Storage Gen2 in Parquet format
 description: Learn how to use the node code editor to automatically capture the streaming data in Event Hubs in an Azure Data Lake Storage Gen2 account in Parquet format.
-author: sidramadoss
-ms.author: sidram
+author: xujxu
+ms.author: xujiang1
 ms.service: stream-analytics
 ms.topic: how-to
 ms.custom: mvc, event-tier1-build-2022

articles/stream-analytics/cluster-overview.md

@@ -1,8 +1,8 @@
 ---
 title: Overview of Azure Stream Analytics Clusters
 description: Learn about single tenant dedicated offering of Stream Analytics Cluster.
-author: sidramadoss
-ms.author: sidram
+author: ahartoon
+ms.author: anboisve
 ms.service: stream-analytics
 ms.topic: overview
 ms.custom: mvc, event-tier1-build-2022
@@ -17,9 +17,9 @@ Stream Analytics clusters are billed by Streaming Units (SUs) which represent th
 
 ## What are Stream Analytics clusters
 
-Stream Analytics clusters are powered by the same engine that powers Stream Analytics jobs running in a multi-tenant environment. The single tenant, dedicated cluster have the following features:
+Stream Analytics clusters are powered by the same engine that powers Stream Analytics jobs running in a multi-tenant environment. The single tenant, dedicated cluster has the following features:
 
-* Single tenant hosting with no noise from other tenants. Your resources are truly "isolated" and performs better when there are burst in traffic.
+* Single tenant hosting with no noise from other tenants. Your resources are truly "isolated" and perform better when there are burst in traffic.
 
 * Scale your cluster between 36 to 396 SUs as your streaming usage increases over time.
 
@@ -41,13 +41,13 @@ The easiest way to get started is to create and develop a Stream Analytics job t
 
 Stream Analytics jobs alone don't support VNets. If your inputs or outputs are secured behind a firewall or an Azure Virtual Network, you have the following two options:
 
-* If your local machine has access to the input and output resources secured by a VNet (for example, Azure Event Hubs or Azure SQL Database), you can [install Azure Stream Analytics tools for Visual Studio](stream-analytics-tools-for-visual-studio-install.md) on your local machine. You can develop and [test Stream Analytics jobs locally](stream-analytics-live-data-local-testing.md) on your device without incurring any cost. Once you are ready to use Stream Analytics in your architecture, you can then create a Stream Analytics cluster, configure private endpoints, and run your jobs at scale.
+* If your local machine has access to the input and output resources secured by a VNet (for example, Azure Event Hubs or Azure SQL Database), you can [install Azure Stream Analytics tools for Visual Studio](stream-analytics-tools-for-visual-studio-install.md) on your local machine. You can develop and [test Stream Analytics jobs locally](stream-analytics-live-data-local-testing.md) on your device without incurring any cost. Once you're ready to use Stream Analytics in your architecture, you can then create a Stream Analytics cluster, configure private endpoints, and run your jobs at scale.
 
 * You can create a Stream Analytics cluster, configure the cluster with the private endpoints needed for your pipeline, and run your Stream Analytics jobs on the cluster.
 
 ### What performance can I expect?
 
-An SU is the same across the Standard and Dedicated offerings. A single job that utilizes a full 36 SU cluster can achieve approximately 36 MB/second throughput with millisecond latency. The exact number depends on the format of events and the type of analytics. Because it is dedicated, Stream Analytics cluster offers more reliable performance guarantees. All the jobs running on your cluster belong only to you.
+An SU is the same across the Standard and Dedicated offerings. A single job that utilizes a full 36 SU cluster can achieve approximately 36 MB/second throughput with millisecond latency. The exact number depends on the format of events and the type of analytics. Because it's dedicated, Stream Analytics cluster offers more reliable performance guarantees. All the jobs running on your cluster belong only to you.
 
 ### Can I scale my cluster?
 
@@ -63,7 +63,7 @@ Your Stream Analytics clusters are charged based on the chosen SU capacity. Clus
 
 ### Which inputs and outputs can I privately connect to from my Stream Analytics cluster?
 
-Stream Analytics supports various input and output types. You can [create private endpoints](private-endpoints.md) in your cluster that allow jobs to access the input and output resources. Currently Azure SQL Database, Azure Cosmos DB, Azure Storage, Azure Data Lake Storage Gen2, Azure Event Hub, Azure IoT Hubs, Azure Function and Azure Service Bus are supported services for which you can create managed private endpoints. 
+Stream Analytics supports various input and output types. You can [create private endpoints](private-endpoints.md) in your cluster that allow jobs to access the input and output resources. Currently Azure SQL Database, Azure Cosmos DB, Azure Storage, Azure Data Lake Storage Gen2, Azure Event Hubs, Azure IoT Hubs, Azure Function and Azure Service Bus are supported services for which you can create managed private endpoints. 
 
 ## Next steps
 

articles/stream-analytics/configuration-error-codes.md

@@ -1,8 +1,8 @@
 ---
 title: Configuration error codes - Azure Stream Analytics
 description: Troubleshoot Azure Stream Analytics issues with configuration error codes. 
-ms.author: sidram
-author: sidramadoss
+author: ahartoon
+ms.author: anboisve
 ms.topic: troubleshooting
 ms.date: 05/07/2020
 ms.service: stream-analytics
@@ -15,21 +15,21 @@ You can use activity logs and resource logs to help debug unexpected behaviors f
 
 ## EventHubUnauthorizedAccess
 
-* **Cause**: Event Hub threw an *Unauthorized Access* error.
+* **Cause**: Event Hubs threw an *Unauthorized Access* error.
 
 ## EventHubReceiverEpochConflict
 
-* **Cause**: There is more than one Event Hub receiver with different epoch values.
-* **Recommendation**: Ensure *Service Bus Explorer* or an *EventProcessorHost* application is not connected while your Stream Analytics job is running.
+* **Cause**: There's more than one Event Hubs receiver with different epoch values.
+* **Recommendation**: Ensure *Service Bus Explorer* or an *EventProcessorHost* application isn't connected while your Stream Analytics job is running.
 
 ## EventHubReceiverQuotaExceeded
 
 * **Cause**: Stream Analytics can't connect to a partition because the maximum number of allowed receivers per partition in a consumer group has been reached.
-* **Recommendation**: Ensure that other Stream Analytics jobs or Service Bus Explorer are not using the same consumer group.
+* **Recommendation**: Ensure that other Stream Analytics jobs or Service Bus Explorer aren't using the same consumer group.
 
 ## EventHubOutputThrottled
 
-* **Cause**: An error occurred while writing data to Event Hub due to throttling.
+* **Cause**: An error occurred while writing data to Event Hubs due to throttling.
 * **Recommendation**: If this happens consistently, upgrade the throughput.
 
 ## EventHubOutputInvalidConnectionConfig
@@ -39,26 +39,26 @@ You can use activity logs and resource logs to help debug unexpected behaviors f
 
 ## EventHubOutputInvalidHostname
 
-* **Cause**: The Event Hub host is unreachable.
+* **Cause**: The Event Hubs host is unreachable.
 * **Recommendation**: Ensure the supplied host name is correct.
 
 ## EventHubOutputUnexpectedPartitionCount
 
-* **Cause**: The EventHub sender encountered an unexpected EventHub partition count.
-* **Recommendation**: Restart your Stream Analytics job if the EventHub's partition count has changed.
+* **Cause**: The Event Hubs sender encountered an unexpected partition count.
+* **Recommendation**: Restart your Stream Analytics job if the event hub's partition count has changed.
 
 ## CosmosDBPartitionKeyNotFound
 
 * **Cause**: Stream Analytics couldn't find the partition key of a particular Azure Cosmos DB collection in the database.
-* **Recommendation**: Ensure there is a valid partition key specified for the collection in Azure Cosmos DB.
+* **Recommendation**: Ensure there's a valid partition key specified for the collection in Azure Cosmos DB.
 
 ## CosmosDBInvalidPartitionKeyColumn
 
 * **Cause**: Thrown when a partition key is neither a leaf node nor at the top level.
 
 ## CosmosDBInvalidIdColumn
 
-* **Cause**: The query output can't contain the column \[id] if a different column is chosen as the primary key property.
+* **Cause**: The query output can't contain the column \[`id`] if a different column is chosen as the primary key property.
 
 ## CosmosDBDatabaseNotFound
 
@@ -89,7 +89,7 @@ You can use activity logs and resource logs to help debug unexpected behaviors f
 
 ## SQLDWOutputInvalidServiceEdition
 
-* **Cause**: SQL Database is not supported.
+* **Cause**: SQL Database isn't supported.
 * **Recommendation**: Use dedicated SQL pool.
 
 ## Next steps

articles/stream-analytics/connect-job-to-vnet.md

@@ -1,9 +1,8 @@
 ---
 title: Connect Stream Analytics jobs to resources in an Azure Virtual Network (VNET)
 description: This article describes how to connect an Azure Stream Analytics job with resources that are in a VNET.
-author: sidramadoss
-ms.author: sidram
-
+author: ahartoon
+ms.author: anboisve
 ms.service: stream-analytics
 ms.topic: conceptual
 ms.date: 01/04/2021

articles/stream-analytics/create-cluster.md

@@ -2,8 +2,8 @@
 title: Create an Azure Stream Analytics Cluster quickstart
 description: Learn how to create an Azure Stream Analytics cluster.
 ms.service: stream-analytics
-author: sidramadoss
-ms.author: sidram
+author: xujxu
+ms.author: xujiang1
 ms.topic: quickstart
 ms.custom: mvc, mode-ui, event-tier1-build-2022
 ms.date: 05/10/2022

articles/stream-analytics/custom-deserializer-examples.md

@@ -1,8 +1,8 @@
 ---
 title: Read input in any format using .NET custom deserializers in Azure Stream Analytics
 description: This article explains the serialization format and the interfaces that define custom .NET deserializers for Azure Stream Analytics cloud and edge jobs.
-author: sidramadoss
-ms.author: sidram
+author: ahartoon
+ms.author: anboisve
 ms.service: stream-analytics
 ms.topic: conceptual
 ms.date: 6/16/2021
@@ -17,7 +17,7 @@ ms.custom: devx-track-csharp
 
 Following code samples are the interfaces that define the custom deserializer and implement `StreamDeserializer<T>`.
 
-`UserDefinedOperator` is the base class for all custom streaming operators. It initializes `StreamingContext`, which provides context which includes mechanism for publishing diagnostics for which you will need to debug any issues with your deserializer.
+`UserDefinedOperator` is the base class for all custom streaming operators. It initializes `StreamingContext`, which provides context, which includes mechanism for publishing diagnostics for which you'll need to debug any issues with your deserializer.
 
 ```csharp
     public abstract class UserDefinedOperator
@@ -28,7 +28,7 @@ Following code samples are the interfaces that define the custom deserializer an
 
 The following code snippet is the deserialization for streaming data. 
 
-Skippable errors should be emitted using `IStreamingDiagnostics` passed through `UserDefinedOperator`'s Initialize method. All exceptions will be treated as errors and the deserializer will be recreated. After a certain number of errors, the job will go to a failed status.
+Skippable errors should be emitted using `IStreamingDiagnostics` passed through `UserDefinedOperator`'s Initialize method. All exceptions will be treated as errors and the deserializer will be recreated. After some errors, the job will go to a failed status.
 
 `StreamDeserializer<T>` deserializes a stream into object of type `T`. The following conditions must be met:
 
@@ -37,8 +37,8 @@ Skippable errors should be emitted using `IStreamingDiagnostics` passed through
     1. One of [sbyte, byte, short, ushort, int, uint, long, DateTime, string, float, double] or their nullable equivalents.
     1. Another struct or class following the same rules.
     1. Array of type `T2` that follows the same rules.
-    1. IList`T2` where T2 follows the same rules.
-    1. Does not have any recursive types.
+    1. `IListT2` where T2 follows the same rules.
+    1. Doesn't have any recursive types.
 
 The parameter `stream` is the stream containing the serialized object. `Deserialize` returns a collection of `T` instances.
 
@@ -49,7 +49,7 @@ The parameter `stream` is the stream containing the serialized object. `Deserial
     }
 ```
 
-`StreamingContext` provides context which includes mechanism for publishing diagnostics for user operator.
+`StreamingContext` provides context, which includes mechanism for publishing diagnostics for user operator.
 
 ```csharp
     public abstract class StreamingContext
@@ -62,7 +62,7 @@ The parameter `stream` is the stream containing the serialized object. `Deserial
 
 `WriteError` writes an error message to resource logs and sends the error to diagnostics.
 
-`briefMessage` is a brief error message. This message shows up in diagnostics and is used by the product team for debugging purposes. Do not include sensitive information, and keep the message less than 200 characters
+`briefMessage` is a brief error message. This message shows up in diagnostics and is used by the product team for debugging purposes. Don't include sensitive information, and keep the message fewer than 200 characters
 
 `detailedMessage` is a detailed error message that is only added to your resource logs in your storage. This message should be less than 2000 characters.
 
@@ -75,7 +75,7 @@ The parameter `stream` is the stream containing the serialized object. `Deserial
 
 ## Deserializer examples
 
-This section shows you how to write custom deserializers for Protobuf and CSV. For additional examples, such as AVRO format for Event Hub Capture, visit [Azure Stream Analytics on GitHub](https://github.com/Azure/azure-stream-analytics/tree/master/CustomDeserializers).
+This section shows you how to write custom deserializers for Protobuf and CSV. For more examples, such as AVRO format for Event Hubs Capture, visit [Azure Stream Analytics on GitHub](https://github.com/Azure/azure-stream-analytics/tree/master/CustomDeserializers).
 
 ### Protocol buffer (Protobuf) format
 
@@ -107,7 +107,7 @@ message MessageBodyProto {
 }
 ```
 
-Running `protoc.exe` from the **Google.Protobuf.Tools** NuGet generates a .cs file with the definition. The generated file is not shown here. You must ensure that the version of Protobuf Nuget you use in your Stream Analytics project matches the Protobuf version that was used to generate the input. 
+Running `protoc.exe` from the **Google.Protobuf.Tools** NuGet generates a .cs file with the definition. The generated file isn't shown here. You must ensure that the version of Protobuf NuGet you use in your Stream Analytics project matches the Protobuf version that was used to generate the input. 
 
 The following code snippet is the deserializer implementation assuming the generated file is included in the project. This implementation is just a thin wrapper over the generated file.
 
@@ -227,25 +227,25 @@ This feature is available in the following regions when using Standard SKU:
 * East US 2
 * West Europe
 
-You can [request support](https://aka.ms/ccodereqregion) for additional regions. However, there is no such region restriction when using [Stream Analytics clusters](./cluster-overview.md).
+You can [request support](https://aka.ms/ccodereqregion) for more regions. However, there's no such region restriction when using [Stream Analytics clusters](./cluster-overview.md).
 
 ## Frequently asked questions
 
 ### When will this feature be available in all Azure regions?
 
-This feature is available in [6 regions](#region-support). If you are interested in using this functionality in another region, you can [submit a request](https://aka.ms/ccodereqregion). Support for all Azure regions is on the roadmap.
+This feature is available in [6 regions](#region-support). If you're interested in using this functionality in another region, you can [submit a request](https://aka.ms/ccodereqregion). Support for all Azure regions is on the roadmap.
 
 ### Can I access MetadataPropertyValue from my inputs similar to GetMetadataPropertyValue function?
 
-This functionality is not supported. If you need this capability, you can vote for this request on [UserVoice](https://feedback.azure.com/d365community/idea/b4517302-b925-ec11-b6e6-000d3a4f0f1c).
+This functionality isn't supported. If you need this capability, you can vote for this request on [UserVoice](https://feedback.azure.com/d365community/idea/b4517302-b925-ec11-b6e6-000d3a4f0f1c).
 
 ### Can I share my deserializer implementation with the community so that others can benefit?
 
-Once you have implemented your deserializer, you can help others by sharing it with the community. Submit your code to the [Azure Stream Analytics GitHub repo](https://github.com/Azure/azure-stream-analytics/tree/master/CustomDeserializers).
+Once you've implemented your deserializer, you can help others by sharing it with the community. Submit your code to the [Azure Stream Analytics GitHub repo](https://github.com/Azure/azure-stream-analytics/tree/master/CustomDeserializers).
 
 ### What are the other limitations of using custom deserializers in Stream Analytics?
 
-If your input is of Protobuf format with a schema containing `MapField` type, you will not be able to implement a custom deserializer. Also, custom deserializers do not support sample data or preview data. 
+If your input is of Protobuf format with a schema containing `MapField` type, you won't be able to implement a custom deserializer. Also, custom deserializers don't support sample data or preview data. 
 
 ## Next Steps
 

articles/stream-analytics/custom-deserializer.md

@@ -1,8 +1,8 @@
 ---
 title: Custom .NET deserializers for Azure Stream Analytics cloud jobs
 description: This doc demonstrates how to create a custom .NET deserializer for an Azure Stream Analytics cloud job using Visual Studio.
-author: sidramadoss
-ms.author: sidram
+author: ahartoon
+ms.author: anboisve
 ms.service: stream-analytics
 ms.topic: tutorial
 ms.date: 12/17/2020

articles/stream-analytics/data-error-codes.md

@@ -1,8 +1,8 @@
 ---
 title: Data error codes - Azure Stream Analytics
 description: Troubleshoot Azure Stream Analytics issues with data error codes, which occur when there's bad data in the stream.
-ms.author: sidram
-author: sidramadoss
+author: ahartoon
+ms.author: anboisve
 ms.topic: troubleshooting
 ms.date: 05/25/2022
 ms.service: stream-analytics
@@ -19,7 +19,7 @@ You can use activity logs and resource logs to help debug unexpected behaviors f
 
 ## InputEventTimestampNotFound
 
-* **Cause**: Stream Analytics is unable to get a timestamp for a resource. 
+* **Cause**: Stream Analytics is unable to get a time stamp for a resource. 
 
 ## InputEventTimestampByOverValueNotFound
 
@@ -31,7 +31,7 @@ You can use activity logs and resource logs to help debug unexpected behaviors f
 
 ## InputEventEarlyBeyondThreshold
 
-* **Cause**: An input event arrival time is earlier than the input event application timestamp threshold.
+* **Cause**: An input event arrival time is earlier than the input event application time stamp threshold.
 
 ## AzureFunctionMessageSizeExceeded
 

articles/stream-analytics/data-errors.md

@@ -1,8 +1,8 @@
 ---
 title: Azure Stream Analytics resource log data errors
 description: This article explains the different input and output data errors that can occur when using Azure Stream Analytics.
-author: sidramadoss
-ms.author: sidram
+author: ahartoon
+ms.author: anboisve
 ms.service: stream-analytics
 ms.topic: troubleshooting
 ms.date: 08/07/2020

articles/stream-analytics/data-protection.md

@@ -1,8 +1,8 @@
 ---
 title: Data protection in Azure Stream Analytics
 description: This article explains how to encrypt your private data used by an Azure Stream Analytics job.
-author: sidramadoss
-ms.author: sidram
+author: ahartoon
+ms.author: anboisve
 ms.service: stream-analytics
 ms.topic: how-to
 ms.date: 05/20/2022