Merge branch 'main' into release-arc-data

Author: v-alje

articles/azure-netapp-files/create-active-directory-connections.md

@@ -267,7 +267,7 @@ You can also use [Azure CLI commands](/cli/azure/feature) `az feature register`
 
 1. Navigate to the volume **Overview** menu. Select **Reset Active Directory Account**.
 :::image type="content" source="../media/azure-netapp-files/active-directory-reset-overview.png" alt-text="Azure Volume Overview interface with the Reset Active Directory Account button highlighted." lightbox="../media/azure-netapp-files/active-directory-reset-overview.png":::
-Alternately, navigate to the **Volumes** menu. Identify the volume for which you want to reset the Active Directory account and select the three dot (`...`) at the end of the row. Select **Reset Active Directory Account**.
+Alternately, navigate to the **Volumes** menu. Identify the volume for which you want to reset the Active Directory account and select the three dots (`...`) at the end of the row. Select **Reset Active Directory Account**.
 :::image type="content" source="../media/azure-netapp-files/active-directory-reset-list.png" alt-text="Azure volume list with the Reset Active Directory Account button highlighted." lightbox="../media/azure-netapp-files/active-directory-reset-list.png":::
 2. A warning message that explains the implications of this action will pop up. Type **yes** in the text box to proceed.
 :::image type="content" source="../media/azure-netapp-files/active-directory-reset-confirm.png" alt-text="Reset Active Directory Account warning message which reads: Warning! This action will reset the active directory account for the volume. This action is intended for users to regain access to volumes at their disposal and can cause data to be unreachable if executed when not needed." lightbox="../media/azure-netapp-files/active-directory-reset-confirm.png":::

articles/data-factory/whats-new.md

@@ -22,6 +22,20 @@ Azure Data Factory is improved on an ongoing basis. To stay up to date with the
 
 This page is updated monthly, so revisit it regularly.
 
+## July 2022
+<br>
+<table>
+<tr><td><b>Service category</b></td><td><b>Service improvements</b></td><td><b>Details</b></td></tr>
+<tr><td rowspan=5><b>Data flow</b></td><td>Asana connector added as source</td><td>We’ve added a new REST-based connector to mapping data flows! Users can now read their tables from Asana. Note: This connector is only available when using inline datasets.<br><a href="connector-asana.md">Learn more</a></td></tr>
+<tr><td>3 new data transformation functions are supported</td><td>3 new data transformation functions have been added to mapping data flows in Azure Data Factory and Azure Synapse Analytics. Now, users are able to use collectUnique(), to create a new collection of unique values in an array, substringIndex(), to extract the substring before n occurrences of a delimiter, and topN(), to return the top n results after sorting your data.<br><a href=https://techcommunity.microsoft.com/t5/azure-data-factory-blog/3-new-data-transformation-functions-in-adf/ba-p/3582738>Learn more</a></td></tr>
+<tr><td>Refetch from source available in Refresh for data source change scenarios</td><td>When building and debugging a data flow, your source data can change. There is now a new easy way to refetch the latest updated source data from the refresh button in the data preview pane.<br><a href="concepts-data-flow-debug-mode.md#data-preview">Learn more</a></td></tr>
+<tr><td>User defined functions (GA) </td><td>Create reusable and customized expressions to avoid building complex logic over and over<br><a href="concepts-data-flow-debug-mode.md#data-preview">Learn more</a></td></tr>
+<tr><td>Easier configuration on data flow runtime – choose compute size among Small, Medium, and Large to pre-configure all integration runtime settings</td><td>Azure Data Factory has made it easier for users to configure Azure Integration Runtime for mapping data flows by choosing compute size among Small, Medium, and Large to pre-configure all integration runtime settings. You can still set your own custom configurations.<br><a href=https://techcommunity.microsoft.com/t5/azure-data-factory-blog/adf-makes-it-easy-to-select-azure-ir-size-for-data-flows/ba-p/3578033>Learn more</a></td></tr>
+<tr><td rowspan=1><b>Continuous integration and continuous delivery (CI/CD)</b></td><td>Include Global parameters supported in ARM template</td><td>We’ve added a new mechanism to include Global Parameters in the ARM templates. This helps to solve an earlier issue, which overrode some configurations during deployments when users included global parameters in ARM templates.<br><a href=https://techcommunity.microsoft.com/t5/azure-data-factory-blog/ci-cd-improvement-using-global-parameters-in-azure-data-factory/ba-p/3557265#M665>Learn more</a></td></tr>
+<tr><td><b>Developer productivity</b></td><td>Azure Data Factory studio preview experience</td><td>Be a part of Azure Data Factory Preview features to experience latest Azure Data Factory capabilities, and be the first to share your feedback<br><a href=https://techcommunity.microsoft.com/t5/azure-data-factory-blog/introducing-the-azure-data-factory-studio-preview-experience/ba-p/3563880>Learn more</a></td></tr>
+</table>
+
+
 ## June 2022
 <br>
 <table>

articles/machine-learning/how-to-log-view-metrics.md

@@ -3,8 +3,8 @@ title: Log & view parameters, metrics and files with MLflow
 titleSuffix: Azure Machine Learning
 description: Enable logging on your ML training runs to monitor real-time run metrics with MLflow, and to help diagnose errors and warnings.
 services: machine-learning
-author: swinner95
-ms.author: shwinne
+ms.author: amipatel
+author: amibp
 ms.reviewer: sgilley
 ms.service: machine-learning
 ms.subservice: core

articles/machine-learning/how-to-monitor-tensorboard.md

@@ -5,8 +5,8 @@ description: Launch TensorBoard to visualize experiment job histories and identi
 services: machine-learning
 ms.service: machine-learning
 ms.subservice: mlops
-author: blackmist
-ms.author: larryfr
+ms.author: amipatel
+author: amibp
 ms.date: 10/21/2021
 ms.topic: how-to
 ms.custom: sdkv1, event-tier1-build-2022

articles/machine-learning/how-to-track-monitor-analyze-runs.md

@@ -5,8 +5,8 @@ description: Learn how to start, monitor, and track your machine learning experi
 services: machine-learning
 ms.service: machine-learning
 ms.subservice: mlops
-author: swinner95
-ms.author: shwinne
+ms.author: amipatel
+author: amibp
 ms.reviewer: sgilley
 ms.date: 06/24/2022
 ms.topic: how-to

articles/machine-learning/reference-yaml-job-sweep.md

@@ -7,9 +7,8 @@ ms.service: machine-learning
 ms.subservice: core
 ms.topic: reference
 ms.custom: cliv2, event-tier1-build-2022
-
-author: blackmist
-ms.author: larryfr
+ms.author: amipatel
+author: amibp
 ms.date: 03/31/2022
 ms.reviewer: nibaccam
 ---

articles/postgresql/hyperscale/howto-ingest-azure-data-factory.md

@@ -2,7 +2,7 @@
 title: Azure Data Factory
 description: Step-by-step guide for using Azure Data Factory for ingestion on Hyperscale Citus
 ms.author: suvishod
-author: sudhanshuvishodia
+author: suvishodcitus
 ms.service: postgresql
 ms.subservice: hyperscale-citus
 ms.topic: how-to