Merge pull request #104733 from Minewiskan/aas-synapse

Aas synapse

Author: PRMerger6

articles/analysis-services/analysis-services-datasource.md

@@ -4,7 +4,7 @@ description: Describes data sources and connectors supported for tabular 1200 an
 author: minewiskan
 ms.service: azure-analysis-services
 ms.topic: conceptual
-ms.date: 12/02/2019
+ms.date: 02/20/2019
 ms.author: owend
 ms.reviewer: minewiskan
 
@@ -18,7 +18,7 @@ Data sources and connectors shown in Get Data or Table Import Wizard in Visual S
 |Data source  |In-memory  |DirectQuery  |Notes |
 |---------|---------|---------|---------|
 |Azure SQL Database      |   Yes      |    Yes      |<sup>[2](#azprovider)</sup>, <sup>[3](#azsqlmanaged)</sup>|
-|Azure SQL Data Warehouse      |   Yes      |   Yes       |<sup>[2](#azprovider)</sup>|
+|Azure Synapse Analytics (SQL Data Warehouse)      |   Yes      |   Yes       |<sup>[2](#azprovider)</sup>|
 |Azure Blob Storage      |   Yes       |    No      | <sup>[1](#tab1400a)</sup> |
 |Azure Table Storage     |   Yes       |    No      | <sup>[1](#tab1400a)</sup>|
 |Azure Cosmos DB     |  Yes        |  No        |<sup>[1](#tab1400a)</sup> |
@@ -115,7 +115,7 @@ For cloud data sources:
 
 ## OAuth credentials
 
-For tabular models at the 1400 and higher compatibility level using in-memory mode, Azure SQL Database, Azure SQL Data Warehouse, Dynamics 365, and SharePoint List support OAuth credentials. Azure Analysis Services manages token refresh for OAuth data sources to avoid timeouts for long-running refresh operations. To generate valid tokens, set credentials by using SSMS.
+For tabular models at the 1400 and higher compatibility level using in-memory mode, Azure SQL Database, Azure Synapse Analytics (SQL Data Warehouse), Dynamics 365, and SharePoint List support OAuth credentials. Azure Analysis Services manages token refresh for OAuth data sources to avoid timeouts for long-running refresh operations. To generate valid tokens, set credentials by using SSMS.
 
 Direct Query mode is not supported with OAuth credentials.
 

articles/analysis-services/analysis-services-overview.md

@@ -4,7 +4,7 @@ description: Learn about Azure Analysis Services, a fully managed platform as a
 author: minewiskan
 ms.service: azure-analysis-services
 ms.topic: overview
-ms.date: 01/17/2020
+ms.date: 02/20/2020
 ms.author: owend
 ms.reviewer: minewiskan
 #Customer intent: As a BI developer, I want to determine if Azure Analysis Services is the best data modeling platform for our organization.
@@ -134,7 +134,7 @@ Azure Analysis Services is compatible with many great features already in SQL Se
 
 Tabular models in both in-memory and DirectQuery modes are supported. In-memory mode (default) tabular models support multiple data sources. Because model data is highly compressed and cached in-memory, this mode provides the fastest query response over large amounts of data. It also provides the greatest flexibility for complex datasets and queries. Partitioning enables incremental loads, increases parallelization, and reduces memory consumption. Other advanced data modeling features like calculated tables, and all DAX functions are supported. In-memory models must be refreshed (processed) to update cached data from data sources. With Azure service principal support, unattended refresh operations using PowerShell, TOM, TMSL and REST offer flexibility in making sure your model data is always up to date. 
 
-DirectQuery mode* leverages the backend relational database for storage and query execution. Extremely large data sets in single SQL Server, SQL Server Data Warehouse, Azure SQL Database, Azure SQL Data Warehouse, Oracle, and Teradata data sources are supported. Backend data sets can exceed available server resource memory. Complex data model refresh scenarios aren't needed. There are also some restrictions, such as limited data source types, DAX formula limitations, and some advanced data modeling features aren't supported. Before determining the best mode for you, see [Direct Query mode](https://docs.microsoft.com/analysis-services/tabular-models/directquery-mode-ssas-tabular).
+DirectQuery mode* leverages the backend relational database for storage and query execution. Extremely large data sets in single SQL Server, SQL Server Data Warehouse, Azure SQL Database, Azure Synapse Analytics (SQL Data Warehouse), Oracle, and Teradata data sources are supported. Backend data sets can exceed available server resource memory. Complex data model refresh scenarios aren't needed. There are also some restrictions, such as limited data source types, DAX formula limitations, and some advanced data modeling features aren't supported. Before determining the best mode for you, see [Direct Query mode](https://docs.microsoft.com/analysis-services/tabular-models/directquery-mode-ssas-tabular).
 
 \* Feature availability depends on tier.