Merge pull request #108643 from julieMSFT/release-synapse-sql-dw-move

Release synapse sql dw move

Author: SyntaxC4

.openpublishing.redirection.json

@@ -18,7 +18,7 @@ Azure Databricks is an Apache Spark-based analytics platform optimized for the M
 
 ![What is Azure Databricks?](./media/what-is-azure-databricks/azure-databricks-overview.png "What is Azure Databricks?")
 
-Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics service. For a big data pipeline, the data (raw or structured) is ingested into Azure through Azure Data Factory in batches, or streamed near real-time using Kafka, Event Hub, or IoT Hub. This data lands in a data lake for long term persisted storage, in Azure Blob Storage or Azure Data Lake Storage. As part of your analytics workflow, use Azure Databricks to read data from multiple data sources such as [Azure Blob Storage](../storage/blobs/storage-blobs-introduction.md), [Azure Data Lake Storage](../data-lake-store/index.yml), [Azure Cosmos DB](../cosmos-db/index.yml), or [Azure SQL Data Warehouse](../sql-data-warehouse/index.yml) and turn it into breakthrough insights using Spark.
+Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics service. For a big data pipeline, the data (raw or structured) is ingested into Azure through Azure Data Factory in batches, or streamed near real-time using Kafka, Event Hub, or IoT Hub. This data lands in a data lake for long term persisted storage, in Azure Blob Storage or Azure Data Lake Storage. As part of your analytics workflow, use Azure Databricks to read data from multiple data sources such as [Azure Blob Storage](../storage/blobs/storage-blobs-introduction.md), [Azure Data Lake Storage](../data-lake-store/index.yml), [Azure Cosmos DB](../cosmos-db/index.yml), or [Azure SQL Data Warehouse](../synapse-analytics/sql-data-warehouse/index.yml) and turn it into breakthrough insights using Spark.
 
 ![Databricks pipeline](./media/what-is-azure-databricks/databricks-pipeline.png)
 

articles/azure-databricks/what-is-azure-databricks.md

@@ -38,7 +38,7 @@ The following information identifies the Azure Government boundary for Azure SQL
 | All data stored and processed in Microsoft Azure SQL can contain Azure Government-regulated data. Use database tools for data transfer of Azure Government-regulated data. |Azure SQL metadata is not permitted to contain export-controlled data. This metadata includes all configuration data entered when creating and maintaining your storage product.  Do not enter regulated/controlled data into the following fields: Database name, Subscription name, Resource groups, Server name, Server admin login, Deployment names, Resource names, Resource tags |
 
 ## SQL Data Warehouse
-For details on this service and how to use it, see [Azure SQL Data Warehouse documentation](../sql-data-warehouse/sql-data-warehouse-overview-what-is.md).
+For details on this service and how to use it, see [Azure SQL Data Warehouse documentation](../synapse-analytics/sql-data-warehouse/sql-data-warehouse-overview-what-is.md).
 
 ## SQL Server Stretch Database
 For details on this service and how to use it, see [Azure SQL Server Stretch Database documentation](../sql-server-stretch-database/index.md)

articles/azure-government/documentation-government-services-database.md

@@ -303,7 +303,7 @@ For SQL Database limits, see [SQL Database resource limits for single databases]
 
 ## SQL Data Warehouse limits
 
-For SQL Data Warehouse limits, see [SQL Data Warehouse resource limits](../../sql-data-warehouse/sql-data-warehouse-service-capacity-limits.md).
+For SQL Data Warehouse limits, see [SQL Data Warehouse resource limits](../../synapse-analytics/sql-data-warehouse/sql-data-warehouse-service-capacity-limits.md).
 
 ## Storage limits
 

articles/azure-resource-manager/management/azure-subscription-service-limits.md

@@ -526,15 +526,15 @@ To use this feature, create an [Azure Blob Storage linked service](connector-azu
 
 ### Best practices for using PolyBase
 
-The following sections provide best practices in addition to those mentioned in [Best practices for Azure Synapse Analytics](../sql-data-warehouse/sql-data-warehouse-best-practices.md).
+The following sections provide best practices in addition to those mentioned in [Best practices for Azure Synapse Analytics](../synapse-analytics/sql-data-warehouse/sql-data-warehouse-best-practices.md).
 
 #### Required database permission
 
-To use PolyBase, the user that loads data into SQL Data Warehouse must have ["CONTROL" permission](https://msdn.microsoft.com/library/ms191291.aspx) on the target database. One way to achieve that is to add the user as a member of the **db_owner** role. Learn how to do that in the [SQL Data Warehouse overview](../sql-data-warehouse/sql-data-warehouse-overview-manage-security.md#authorization).
+To use PolyBase, the user that loads data into SQL Data Warehouse must have ["CONTROL" permission](https://msdn.microsoft.com/library/ms191291.aspx) on the target database. One way to achieve that is to add the user as a member of the **db_owner** role. Learn how to do that in the [SQL Data Warehouse overview](../synapse-analytics/sql-data-warehouse/sql-data-warehouse-overview-manage-security.md#authorization).
 
 #### Row size and data type limits
 
-PolyBase loads are limited to rows smaller than 1 MB. It cannot be used to load to VARCHR(MAX), NVARCHAR(MAX), or VARBINARY(MAX). For more information, see [SQL Data Warehouse service capacity limits](../sql-data-warehouse/sql-data-warehouse-service-capacity-limits.md#loads).
+PolyBase loads are limited to rows smaller than 1 MB. It cannot be used to load to VARCHR(MAX), NVARCHAR(MAX), or VARBINARY(MAX). For more information, see [SQL Data Warehouse service capacity limits](../synapse-analytics/sql-data-warehouse/sql-data-warehouse-service-capacity-limits.md#loads).
 
 When your source data has rows greater than 1 MB, you might want to vertically split the source tables into several small ones. Make sure that the largest size of each row doesn't exceed the limit. The smaller tables can then be loaded by using PolyBase and merged together in Azure Synapse Analytics.
 
@@ -735,7 +735,7 @@ Settings specific to Azure Synapse Analytics are available in the **Settings** t
 When you copy data from or to Azure Synapse Analytics, the following mappings are used from Azure Synapse Analytics data types to Azure Data Factory interim data types. See [schema and data type mappings](copy-activity-schema-and-type-mapping.md) to learn how Copy Activity maps the source schema and data type to the sink.
 
 >[!TIP]
->Refer to [Table data types in Azure Synapse Analytics](../sql-data-warehouse/sql-data-warehouse-tables-data-types.md) article on SQL DW supported data types and the workarounds for unsupported ones.
+>Refer to [Table data types in Azure Synapse Analytics](../synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-data-types.md) article on SQL DW supported data types and the workarounds for unsupported ones.
 
 | Azure Synapse Analytics data type    | Data Factory interim data type |
 | :------------------------------------ | :----------------------------- |

articles/data-factory/connector-azure-sql-data-warehouse.md

@@ -74,7 +74,7 @@ If the cloud data store supports HTTPS or TLS, all data transfers between data m
 Some data stores support encryption of data at rest. We recommend that you enable the data encryption mechanism for those data stores. 
 
 #### Azure SQL Data Warehouse
-Transparent Data Encryption (TDE) in Azure SQL Data Warehouse helps protect against the threat of malicious activity by performing real-time encryption and decryption of your data at rest. This behavior is transparent to the client. For more information, see [Secure a database in SQL Data Warehouse](../sql-data-warehouse/sql-data-warehouse-overview-manage-security.md).
+Transparent Data Encryption (TDE) in Azure SQL Data Warehouse helps protect against the threat of malicious activity by performing real-time encryption and decryption of your data at rest. This behavior is transparent to the client. For more information, see [Secure a database in SQL Data Warehouse](../synapse-analytics/sql-data-warehouse/sql-data-warehouse-overview-manage-security.md).
 
 #### Azure SQL Database
 Azure SQL Database also supports transparent data encryption (TDE), which helps protect against the threat of malicious activity by performing real-time encryption and decryption of the data, without requiring changes to the application. This behavior is transparent to the client. For more information, see [Transparent data encryption for SQL Database and Data Warehouse](https://docs.microsoft.com/sql/relational-databases/security/encryption/transparent-data-encryption-azure-sql).

articles/data-factory/data-movement-security-considerations.md

@@ -15,7 +15,7 @@ ms.date: 06/22/2018
 
 # Load data into Azure SQL Data Warehouse by using Azure Data Factory
 
-[Azure SQL Data Warehouse](../sql-data-warehouse/sql-data-warehouse-overview-what-is.md) is a cloud-based, scale-out database that's capable of processing massive volumes of data, both relational and non-relational. SQL Data Warehouse is built on the massively parallel processing (MPP) architecture that's optimized for enterprise data warehouse workloads. It offers cloud elasticity with the flexibility to scale storage and compute independently.
+[Azure SQL Data Warehouse](../synapse-analytics/sql-data-warehouse/sql-data-warehouse-overview-what-is.md) is a cloud-based, scale-out database that's capable of processing massive volumes of data, both relational and non-relational. SQL Data Warehouse is built on the massively parallel processing (MPP) architecture that's optimized for enterprise data warehouse workloads. It offers cloud elasticity with the flexibility to scale storage and compute independently.
 
 Getting started with Azure SQL Data Warehouse is now easier than ever when you use Azure Data Factory. Azure Data Factory is a fully managed cloud-based data integration service. You can use the service to populate a SQL Data Warehouse with data from your existing system and save time when building your analytics solutions.
 

articles/data-factory/load-azure-sql-data-warehouse.md

@@ -256,13 +256,13 @@ To use this feature, create an [Azure Storage linked service](data-factory-azure
 ```
 
 ## Best practices when using PolyBase
-The following sections provide additional best practices to the ones that are mentioned in [Best practices for Azure SQL Data Warehouse](../../sql-data-warehouse/sql-data-warehouse-best-practices.md).
+The following sections provide additional best practices to the ones that are mentioned in [Best practices for Azure SQL Data Warehouse](../../synapse-analytics/sql-data-warehouse/sql-data-warehouse-best-practices.md).
 
 ### Required database permission
-To use PolyBase, it requires the user being used to load data into SQL Data Warehouse has the ["CONTROL" permission](https://msdn.microsoft.com/library/ms191291.aspx) on the target database. One way to achieve that is to add that user as a member of "db_owner" role. Learn how to do that by following [this section](../../sql-data-warehouse/sql-data-warehouse-overview-manage-security.md#authorization).
+To use PolyBase, it requires the user being used to load data into SQL Data Warehouse has the ["CONTROL" permission](https://msdn.microsoft.com/library/ms191291.aspx) on the target database. One way to achieve that is to add that user as a member of "db_owner" role. Learn how to do that by following [this section](../../synapse-analytics/sql-data-warehouse/sql-data-warehouse-overview-manage-security.md#authorization).
 
 ### Row size and data type limitation
-Polybase loads are limited to loading rows both smaller than **1 MB** and cannot load to VARCHR(MAX), NVARCHAR(MAX) or VARBINARY(MAX). Refer to [here](../../sql-data-warehouse/sql-data-warehouse-service-capacity-limits.md#loads).
+Polybase loads are limited to loading rows both smaller than **1 MB** and cannot load to VARCHR(MAX), NVARCHAR(MAX) or VARBINARY(MAX). Refer to [here](../../synapse-analytics/sql-data-warehouse/sql-data-warehouse-service-capacity-limits.md#loads).
 
 If you have source data with rows of size greater than 1 MB, you may want to split the source tables vertically into several small ones where the largest row size of each of them does not exceed the limit. The smaller tables can then be loaded using PolyBase and merged together in Azure SQL Data Warehouse.
 

articles/data-factory/v1/data-factory-azure-sql-data-warehouse-connector.md

@@ -61,7 +61,7 @@ If the cloud data store supports HTTPS or TLS, all data transfers between data m
 Some data stores support encryption of data at rest. We suggest that you enable data encryption mechanism for those data stores. 
 
 #### Azure SQL Data Warehouse
-Transparent Data Encryption (TDE) in Azure SQL Data Warehouse helps with protecting against the threat of malicious activity by performing real-time encryption and decryption of your data at rest. This behavior is transparent to the client. For more information, see [Secure a database in SQL Data Warehouse](../../sql-data-warehouse/sql-data-warehouse-overview-manage-security.md).
+Transparent Data Encryption (TDE) in Azure SQL Data Warehouse helps with protecting against the threat of malicious activity by performing real-time encryption and decryption of your data at rest. This behavior is transparent to the client. For more information, see [Secure a database in SQL Data Warehouse](../../synapse-analytics/sql-data-warehouse/sql-data-warehouse-overview-manage-security.md).
 
 #### Azure SQL Database
 Azure SQL Database also supports transparent data encryption (TDE), which helps with protecting against the threat of malicious activity by performing real-time encryption and decryption of the data without requiring changes to the application. This behavior is transparent to the client. For more information, see [Transparent Data Encryption with Azure SQL Database](https://docs.microsoft.com/sql/relational-databases/security/encryption/transparent-data-encryption-with-azure-sql-database). 

articles/data-factory/v1/data-factory-data-movement-security-considerations.md

@@ -23,7 +23,7 @@ robots: noindex
 > This article applies to version 1 of Data Factory. If you are using the current version of the Data Factory service, see [Copy data to or from Azure SQL Data Warehouse by using Data Factory](../connector-azure-sql-data-warehouse.md).
 
 
-[Azure SQL Data Warehouse](../../sql-data-warehouse/sql-data-warehouse-overview-what-is.md) is a cloud-based, scale-out database capable of processing massive volumes of data, both relational and non-relational.  Built on massively parallel processing (MPP) architecture, SQL Data Warehouse is optimized for enterprise data warehouse workloads.  It offers cloud elasticity with the flexibility to scale storage and compute independently.
+[Azure SQL Data Warehouse](../../synapse-analytics/sql-data-warehouse/sql-data-warehouse-overview-what-is.md) is a cloud-based, scale-out database capable of processing massive volumes of data, both relational and non-relational.  Built on massively parallel processing (MPP) architecture, SQL Data Warehouse is optimized for enterprise data warehouse workloads.  It offers cloud elasticity with the flexibility to scale storage and compute independently.
 
 Getting started with Azure SQL Data Warehouse is now easier than ever using **Azure Data Factory**.  Azure Data Factory is a fully managed cloud-based data integration service, which can be used to populate a SQL Data Warehouse with the data from your existing system, and saving you valuable time while evaluating SQL Data Warehouse and building your analytics solutions. Here are the key benefits of loading data into Azure SQL Data Warehouse using Azure Data Factory:
 
@@ -211,7 +211,7 @@ Here are a few best practices for running your Azure SQL Data Warehouse database
 * For faster load speeds, consider using heap for transient data.
 * Create statistics after you finish loading Azure SQL Data Warehouse.
 
-See [Best practices for Azure SQL Data Warehouse](../../sql-data-warehouse/sql-data-warehouse-best-practices.md) for details.
+See [Best practices for Azure SQL Data Warehouse](../../synapse-analytics/sql-data-warehouse/sql-data-warehouse-best-practices.md) for details.
 
 ## Next steps
 * [Data Factory Copy Wizard](data-factory-copy-wizard.md) - This article provides details about the Copy Wizard.