Merge pull request #207055 from jonburchel/patch-31

Update whats-new.md

Author: PRMerger16

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>