Fixing broken links

Author: jonburchel

articles/synapse-analytics/whats-new.md

@@ -31,9 +31,9 @@ The following updates are new to Azure Synapse Analytics this month.
 
   The following are now supported in Python on Spark 3: 
 
-  * Read using AAD Authentication or Basic Authentication 
-  * Write to Internal Table using AAD Authentication or Basic Authentication 
-  * Write to External Table using AAD Authentication or Basic Authentication  
+  * Read using Azure Active Directory (AD) Authentication or Basic Authentication 
+  * Write to Internal Table using Azure AD Authentication or Basic Authentication 
+  * Write to External Table using Azure AD Authentication or Basic Authentication  
 
   To learn more about the connector in Python, read [Azure Synapse Dedicated SQL Pool Connector for Apache Spark](./spark/synapse-spark-sql-pool-import-export.md).
 
@@ -47,7 +47,7 @@ The following updates are new to Azure Synapse Analytics this month.
 
   An external SQL table is a schema entity that references data stored outside the Synapse Data Explorer database. Using the Create and alter SQL Server external tables command, External SQL tables can easily be added to the Synapse Data Explorer database schema. 
 
-  To learn more about managed identities, read [Managed identities overview](/azure/data-explorer/managed-identities-overview.md). 
+  To learn more about managed identities, read [Managed identities overview](~/azure/data-explorer/managed-identities-overview.md). 
 
   To learn more about external tables, read [Create and alter SQL Server external tables](/azure/data-explorer/kusto/management/external-sql-tables.md). 
 
@@ -59,13 +59,13 @@ The following updates are new to Azure Synapse Analytics this month.
 
   To learn more about KQL, read [Kusto Query Language (KQL) overview](/azure/data-explorer/kusto/query/). 
 
-* **Azure Synapse Data Explorer connector for Microsoft Power Automate, Logic Apps, and Power Apps [Generally Available]** - The Azure Data Explorer connector for Power Automate enables you to orchestrate and schedule flows, send notifications, and alerts, as part of a scheduled or triggered task. To learn more, read [Azure Data Explorer connector for Microsoft Power Automate](/azure/data-explorer/flow.md) and [Usage examples for Azure Data Explorer connector to Power Automate](/azure/data-explorer/flow-usage.md). 
+* **Azure Synapse Data Explorer connector for Microsoft Power Automate, Logic Apps, and Power Apps [Generally Available]** - The Azure Data Explorer connector for Power Automate enables you to orchestrate and schedule flows, send notifications, and alerts, as part of a scheduled or triggered task. To learn more, read [Azure Data Explorer connector for Microsoft Power Automate](~/azure/data-explorer/flow.md) and [Usage examples for Azure Data Explorer connector to Power Automate](~/azure/data-explorer/flow-usage.md). 
 
 * **Dynamic events routing from event hub to multiple databases** - Routing events from Event Hub/IOT Hub/Event Grid is an activity commonly performed by Azure Data Explorer (ADX) users. Previously, you could route events only to a single database per defined connection. If you wanted to route the events to multiple databases, you needed to create multiple ADX cluster connections. 
 
-  To simplify the experience, we now support routing events data to multiple databases hosted in a single ADX cluster. To learn more about dynamic routing, read [Ingest from event hub](/azure/data-explorer/ingest-data-event-hub-overview.md#events-routing). 
+  To simplify the experience, we now support routing events data to multiple databases hosted in a single ADX cluster. To learn more about dynamic routing, read [Ingest from event hub](~/azure/data-explorer/ingest-data-event-hub-overview.md#events-routing). 
 
-* **Configure a database using a KQL inline script as part of JSON ARM deployment template** - Previously, Azure Data Explorer supported running a Kusto Query Language (KQL) script to configure your database during Azure Resource Management (ARM) template deployment. Now, this can be done using an inline script provided inline as a parameter to a JSON ARM template. To learn more about using a KQL inline script, read [Configure a database using a Kusto Query Language script](/azure/data-explorer/database-script.md).
+* **Configure a database using a KQL inline script as part of JSON ARM deployment template** - Previously, Azure Data Explorer supported running a Kusto Query Language (KQL) script to configure your database during Azure Resource Management (ARM) template deployment. Now, this can be done using an inline script provided inline as a parameter to a JSON ARM template. To learn more about using a KQL inline script, read [Configure a database using a Kusto Query Language script](~/azure/data-explorer/database-script.md).
 
 ## Data Integration
 
@@ -81,7 +81,7 @@ The following updates are new to Azure Synapse Analytics this month.
 
 ## Synapse Link
 
-**Azure Synapse Link for SQL [Public Preview]** - At Microsoft Build 2022, we announced the Public Preview availability of Azure Synapse Link for SQL, for both SQL Server 2022 and Azure SQL Database. Data-driven, quality insights are critical for companies to stay competitive. The speed to achieve those insights can make all the difference. The costly and time-consuming nature of traditional ETL and ELT pipelines are no longer enough. With this release, you can now take advantage of low- and no-code, near real-time data replication from your SQL-based operational stores into Azure Synapse Analytics. This makes it easier to run BI reporting on operational data in near real-time, with minimal impact on your operational store. To learn more, read [Announcing the Public Preview of Azure Synapse Link for SQL](https://techcommunity.microsoft.com/t5/azure-synapse-analytics-blog/announcing-the-public-preview-of-azure-synapse-link-for-sql/ba-p/3372986) and watch our YouTube video. 
+**Azure Synapse Link for SQL [Public Preview]** - At Microsoft Build 2022, we announced the Public Preview availability of Azure Synapse Link for SQL, for both SQL Server 2022 and Azure SQL Database. Data-driven, quality insights are critical for companies to stay competitive. The speed to achieve those insights can make all the difference. The costly and time-consuming nature of traditional ETL and ELT pipelines is no longer enough. With this release, you can now take advantage of low- and no-code, near real-time data replication from your SQL-based operational stores into Azure Synapse Analytics. This makes it easier to run BI reporting on operational data in near real-time, with minimal impact on your operational store. To learn more, read [Announcing the Public Preview of Azure Synapse Link for SQL](https://techcommunity.microsoft.com/t5/azure-synapse-analytics-blog/announcing-the-public-preview-of-azure-synapse-link-for-sql/ba-p/3372986) and watch our YouTube video. 
 
 > [!VIDEO https://www.youtube.com/embed/pgusZy34-Ek]