updating links

Author: julieMSFT

articles/sql-database/create-auditing-storage-account-vnet-firewall.md

@@ -13,7 +13,7 @@ ms.custom: azure-synapse
 ---
 # Write audit to a storage account behind VNet and firewall
 
-Auditing for [Azure SQL Database](sql-database-technical-overview.md) and [Azure Synapse Analytics](../sql-data-warehouse/sql-data-warehouse-overview-what-is.md) supports writing database events to an [Azure Storage account](../storage/common/storage-account-overview.md) behind a virtual network and firewall. 
+Auditing for [Azure SQL Database](sql-database-technical-overview.md) and [Azure Synapse Analytics](../synapse-analytics/sql-data-warehouse/sql-data-warehouse-overview-what-is.md) supports writing database events to an [Azure Storage account](../storage/common/storage-account-overview.md) behind a virtual network and firewall. 
 
 This article explains two ways to configure Azure SQL Server and Azure storage account for this option. The first uses the Azure portal, the second uses REST.
 

articles/sql-database/sql-database-auditing.md

@@ -13,7 +13,7 @@ ms.custom: azure-synapse
 ---
 # Azure SQL Auditing
 
-Auditing for Azure [SQL Database](sql-database-technical-overview.md)  and [Azure Synapse Analytics](../sql-data-warehouse/sql-data-warehouse-overview-what-is.md) tracks database events and writes them to an audit log in your Azure storage account, Log Analytics workspace or Event Hubs. 
+Auditing for Azure [SQL Database](sql-database-technical-overview.md)  and [Azure Synapse Analytics](../synapse-analytics/sql-data-warehouse/sql-data-warehouse-overview-what-is.md) tracks database events and writes them to an audit log in your Azure storage account, Log Analytics workspace or Event Hubs. 
 
 Auditing also:
 

articles/synapse-analytics/sql-data-warehouse/design-elt-data-loading.md

@@ -59,7 +59,7 @@ Tools and services you can use to move data to Azure Storage:
 
 - [Azure ExpressRoute](../../expressroute/expressroute-introduction.md) service enhances network throughput, performance, and predictability. ExpressRoute is a service that routes your data through a dedicated private connection to Azure. ExpressRoute connections do not route data through the public internet. The connections offer more reliability, faster speeds, lower latencies, and higher security than typical connections over the public internet.
 - [AZCopy utility](../../storage/common/storage-choose-data-transfer-solution.md) moves data to Azure Storage over the public internet. This works if your data sizes are less than 10 TB. To perform loads on a regular basis with AZCopy, test the network speed to see if it is acceptable. 
-- [Azure Data Factory (ADF)](../../data-factory/introduction.md) has a gateway that you can install on your local server. Then you can create a pipeline to move data from your local server up to Azure Storage. To use Data Factory with SQL Analytics, see [Loading data for SQL Analytics](../../data-factory/load-azure-sql-data-warehouse).
+- [Azure Data Factory (ADF)](../../data-factory/introduction.md) has a gateway that you can install on your local server. Then you can create a pipeline to move data from your local server up to Azure Storage. To use Data Factory with SQL Analytics, see [Loading data for SQL Analytics](../../data-factory/load-azure-sql-data-warehouse.md).
 
 
 ## 3. Prepare the data for loading
@@ -124,7 +124,7 @@ To load data with PolyBase, you can use any of these loading options:
 
 - [PolyBase with T-SQL](load-data-from-azure-blob-storage-using-polybase.md) works well when your data is in Azure Blob storage or Azure Data Lake Store. It gives you the most control over the loading process, but also requires you to define external data objects. The other methods define these objects behind the scenes as you map source tables to destination tables.  To orchestrate T-SQL loads, you can use Azure Data Factory, SSIS, or Azure functions. 
 - [PolyBase with SSIS](/sql/integration-services/load-data-to-sql-data-warehouse) works well when your source data is in SQL Server, either SQL Server on-premises or in the cloud. SSIS defines the source to destination table mappings, and also orchestrates the load. If you already have SSIS packages, you can modify the packages to work with the new data warehouse destination. 
-- [PolyBase and COPY statement with Azure Data Factory (ADF)](sql-data-warehouse-load-with-data-factory.md) is another orchestration tool.  It defines a pipeline and schedules jobs. 
+- [PolyBase and COPY statement with Azure Data Factory (ADF)](../../data-factory/load-azure-sql-data-warehouse.md) is another orchestration tool.  It defines a pipeline and schedules jobs. 
 - [PolyBase with Azure Databricks](../../azure-databricks/databricks-extract-load-sql-data-warehouse.md) transfers data from a table to a Databricks dataframe and/or writes data from a Databricks dataframe to a table using PolyBase.
 
 ### Other loading options