rebranding

Author: julieMSFT

articles/synapse-analytics/sql-data-warehouse/sql-data-warehouse-load-from-azure-blob-storage-with-polybase.md

@@ -1,6 +1,6 @@
 ---
-title: Load Contoso retail data to a SQL Analytics data warehouse
-description: Use PolyBase and T-SQL commands to load two tables from the Contoso retail data into Azure SQL Analytics.
+title: Load Contoso retail data to a Synapse SQL data warehouse
+description: Use PolyBase and T-SQL commands to load two tables from the Contoso retail data into Synapse SQL.
 services: synapse-analytics
 author: kevinvngo 
 manager: craigg
@@ -13,9 +13,9 @@ ms.reviewer: igorstan
 ms.custom: seo-lt-2019
 ---
 
-# Load Contoso retail data to a SQL Analytics data warehouse
+# Load Contoso retail data to a Synapse SQL data warehouse
 
-In this tutorial, you learn to use PolyBase and T-SQL commands to load two tables from the Contoso retail data into a SQL Analytics data warehouse. 
+In this tutorial, you learn to use PolyBase and T-SQL commands to load two tables from the Contoso retail data into a Synapse SQL data warehouse.
 
 In this tutorial you will:
 
@@ -25,11 +25,11 @@ In this tutorial you will:
 
 ## Before you begin
 
-To run this tutorial, you need an Azure account that already has a SQL Analytics data warehouse. If you don't have a data warehouse provisioned, see [Create a data warehouse and set server-level firewall rule](create-data-warehouse-portal.md).
+To run this tutorial, you need an Azure account that already has a Synapse SQL data warehouse. If you don't have a data warehouse provisioned, see [Create a data warehouse and set server-level firewall rule](create-data-warehouse-portal.md).
 
 ## Configure the data source
 
-PolyBase uses T-SQL external objects to define the location and attributes of the external data. The external object definitions are stored in your SQL Analytics data warehouse. The data is stored externally.
+PolyBase uses T-SQL external objects to define the location and attributes of the external data. The external object definitions are stored in your Synapse SQL data warehouse. The data is stored externally.
 
 ## Create a credential
 
@@ -116,7 +116,7 @@ GO
 
 ## Create the external tables
 
-Run the following script to create the DimProduct and FactOnlineSales external tables. All you're doing here is defining column names and data types, and binding them to the location and format of the Azure blob storage files. The definition is stored in the SQL Analytics data warehouse and the data is still in the Azure Storage Blob.
+Run the following script to create the DimProduct and FactOnlineSales external tables. All you're doing here is defining column names and data types, and binding them to the location and format of the Azure blob storage files. The definition is stored in the data warehouse and the data is still in the Azure Storage Blob.
 
 The  **LOCATION** parameter is the folder under the root folder in the Azure Storage Blob. Each table is in a different folder.
 
@@ -269,7 +269,7 @@ ORDER BY
 
 ## Optimize columnstore compression
 
-By default, the SQL Analytics data warehouse stores the table as a clustered columnstore index. After a load completes, some of the data rows might not be compressed into the columnstore.  There are different reasons why this can happen. To learn more, see [manage columnstore indexes](sql-data-warehouse-tables-index.md).
+By default, the Synapse SQL data warehouse stores the table as a clustered columnstore index. After a load completes, some of the data rows might not be compressed into the columnstore.  There are different reasons why this can happen. To learn more, see [manage columnstore indexes](sql-data-warehouse-tables-index.md).
 
 To optimize query performance and columnstore compression after a load, rebuild the table to force the columnstore index to compress all the rows. 
 

articles/synapse-analytics/sql-data-warehouse/sql-data-warehouse-load-from-azure-data-lake-store.md

@@ -1,6 +1,6 @@
 ---
 title: 'Tutorial load data from Azure Data Lake Storage'
-description: Use PolyBase external tables to load data from Azure Data Lake Storage for SQL analytics.
+description: Use PolyBase external tables to load data from Azure Data Lake Storage for Synapse SQL.
 services: synapse-analytics
 author: kevinvngo
 manager: craigg
@@ -13,7 +13,8 @@ ms.reviewer: igorstan
 ms.custom: azure-synapse
 ---
 
-# Load data from Azure Data Lake Storage for SQL Analytics
+# Load data from Azure Data Lake Storage for Synapse SQL
+
 This guide outlines how to use PolyBase external tables to load data from Azure Data Lake Storage. Although you can run adhoc queries on data stored in Data Lake Storage, we recommend importing the data for best performance. 
 
 > [!NOTE]  

articles/synapse-analytics/sql-data-warehouse/sql-data-warehouse-memory-optimizations-for-columnstore-compression.md

@@ -85,7 +85,7 @@ where short-string-columns use string data types of <= 32 bytes and long-string-
 Long strings are compressed with a compression method designed for compressing text. This compression method uses a *dictionary* to store text patterns. The maximum size of a dictionary is 16 MB. There is only one dictionary for each long string column in the rowgroup.
 
 For an in-depth discussion of columnstore memory requirements, see the
-video [SQL Analytics scaling: configuration and guidance](https://channel9.msdn.com/Events/Ignite/2016/BRK3291).
+video [Synapse SQL scaling: configuration and guidance](https://channel9.msdn.com/Events/Ignite/2016/BRK3291).
 
 ## Ways to reduce memory requirements
 
@@ -137,4 +137,4 @@ DWU size and the user resource class together determine how much memory is avail
 
 ## Next steps
 
-To find more ways to improve performance for SQL Analytics, see the [Performance overview](cheat-sheet.md).
+To find more ways to improve performance for Synapse SQL, see the [Performance overview](cheat-sheet.md).

articles/synapse-analytics/sql-data-warehouse/sql-data-warehouse-monitor-workload-portal.md

@@ -1,6 +1,6 @@
 ---
 title: Monitor workload - Azure portal 
-description: Monitor SQL Analytics using the Azure portal
+description: Monitor Synapse SQL using the Azure portal
 services: synapse-analytics
 author: kevinvngo
 manager: craigg
@@ -14,7 +14,7 @@ ms.reviewer: jrasnick
 
 # Monitor workload - Azure portal
 
-This article describes how to use the Azure portal to monitor your workload. This includes setting up Azure Monitor Logs to investigate query execution and workload trends using log analytics for [SQL Analytics](https://azure.microsoft.com/blog/workload-insights-with-sql-data-warehouse-delivered-through-azure-monitor-diagnostic-logs-pass/).
+This article describes how to use the Azure portal to monitor your workload. This includes setting up Azure Monitor Logs to investigate query execution and workload trends using log analytics for [Synapse SQL](https://azure.microsoft.com/blog/workload-insights-with-sql-data-warehouse-delivered-through-azure-monitor-diagnostic-logs-pass/).
 
 ## Prerequisites
 

articles/synapse-analytics/sql-data-warehouse/sql-data-warehouse-overview-faq.md

@@ -24,9 +24,9 @@ Q. What happened to Azure SQL Data Warehouse?
 
 A. Azure Synapse is Azure SQL Data Warehouse (SQL DW) evolved. We've taken the same industry-leading data warehouse to a whole new level of performance and capabilities. You can continue running your existing data warehouse workloads in production with Azure Synapse and automatically benefit from the new capabilities, which are in preview. For more information, see [What is Azure Synapse Analytics](sql-data-warehouse-overview-what-is.md).
 
-Q. What is SQL Analytics?
+Q. What is Synapse SQL pool?
 
-A. SQL Analytics refers to the enterprise data warehousing features that are generally available with Azure Synapse. For more information, see, [What is Azure Synapse Analytics](sql-data-warehouse-overview-what-is.md).
+A. Synapse SQL pool refers to the enterprise data warehousing features that are generally available with Azure Synapse. For more information, see, [What is Azure Synapse Analytics](sql-data-warehouse-overview-what-is.md).
 
 Q. How do I get started with Azure Synapse?
 
@@ -43,9 +43,9 @@ First, choose by Compliance title. Then expand Azure in the Microsoft in-scope c
 
 Q. Can I connect Power BI?
 
-A. Yes! Though Power BI supports direct query with Azure Synapse, it’s not intended for a large number of users or real-time data. To optimize Power BI performance further, consider using Power BI on top of Azure Analysis Services or Analysis Service IaaS.
+A. Yes! Though Power BI supports direct query with Azure Synapse, it's not intended for a large number of users or real-time data. To optimize Power BI performance further, consider using Power BI on top of Azure Analysis Services or Analysis Service IaaS.
 
-Q. What are SQL Analytics capacity limits?
+Q. What are Synapse SQL pool capacity limits?
 
 A. See our current [capacity limits](sql-data-warehouse-service-capacity-limits.md) page. 
 
@@ -79,17 +79,16 @@ A. Many features are supported. Features that aren't supported can be found in [
 
 ## Tooling and administration
 
-Q. Does SQL Analytics support REST APIs?
+Q. Does Synapse SQL pool support REST APIs?
 
-A. Yes. Most REST functionality that can be used with SQL Database is also available with SQL Analytics. You can find API information within REST documentation pages or
+A. Yes. Most REST functionality that can be used with SQL Database is also available with Synapse SQL pool. You can find API information within REST documentation pages or
 [MSDN](https://msdn.microsoft.com/library/azure/mt163685.aspx).
 
-
 ## Loading
 
 Q. What client drivers do you support?
 
-A. Driver support for SQL Analytics can be found on the [Connection Strings](sql-data-warehouse-connection-strings.md) page
+A. Driver support for Synapse SQL pool can be found on the [Connection Strings](sql-data-warehouse-connection-strings.md) page
 
 Q: What file formats are supported by PolyBase?
 
@@ -105,7 +104,8 @@ A: No, PolyBase only interacts with the storage components.
 
 Q: Can I connect to HDI?
 
-A: HDI can use either ADLS or WASB as the HDFS layer. If you have either as your HDFS layer, you can load that data into a SQL Analytics data warehouse. However, you cannot generate pushdown computation to the HDI instance. 
+A: HDI can use either ADLS or WASB as the HDFS layer. If you have either as your HDFS layer, you can load that data into a Synapse SQL pool. However, you cannot generate pushdown computation to the HDI instance. 
 
 ## Next steps
+
 For more information on Azure Synapse as a whole, see our [Overview](sql-data-warehouse-overview-faq.md) page.

articles/synapse-analytics/sql-data-warehouse/sql-data-warehouse-overview-integrate.md

@@ -1,6 +1,6 @@
 ---
 title: Build integrated solutions
-description: Solution tools and partners that integrate with a data warehouse provisioned using SQL Analytics.
+description: Solution tools and partners that integrate with a Synapse SQL pool.
 services: synapse-analytics
 author: mlee3gsd 
 manager: craigg
@@ -13,8 +13,9 @@ ms.reviewer: igorstan
 ms.custom: seo-lt-2019
 ---
 
-# Integrate other services with a SQL Analytics data warehouse 
-The SQL Analytics capability within Azure Synapse Analytics enables users to integrate with many of the other services in Azure. Using SQL Analytics, you can create a data warehouse via its SQL Pool resource, which can then utilize several additional services, some of which include:
+# Integrate other services with a Synapse SQL pool
+
+The Synapse SQL pool capability within Azure Synapse Analytics enables users to integrate with many of the other services in Azure. Using Synapse SQL, you can create a data warehouse via its SQL pool resource, which can then utilize several additional services, some of which include:
 
 * Power BI
 * Azure Data Factory

articles/synapse-analytics/sql-data-warehouse/sql-data-warehouse-overview-manage-security.md

@@ -1,7 +1,6 @@
 ---
 title: Secure a database
-description: Tips for securing a database and developing solutions in the SQL pool resource of SQL Analytics.
-services: synapse-analytics
+description: Tips for securing a database and developing solutions in a Synapse SQL pool resource.
 author: julieMSFT
 manager: craigg
 ms.service: synapse-analytics
@@ -15,6 +14,7 @@ tags: azure-synapse
 ---
 
 # Secure a database in Azure Synapse
+
 > [!div class="op_single_selector"]
 > * [Security Overview](sql-data-warehouse-overview-manage-security.md)
 > * [Authentication](sql-data-warehouse-authentication.md)
@@ -23,9 +23,10 @@ tags: azure-synapse
 > 
 > 
 
-This article will walk you through the basics of securing your SQL pool within SQL Analytics. In particular, this article gets you started with resources for limiting access, protecting data, and monitoring activities on a database provisioned using SQL pool.
+This article will walk you through the basics of securing your Synapse SQL pool. In particular, this article gets you started with resources for limiting access, protecting data, and monitoring activities on a database provisioned using SQL pool.
 
 ## Connection security
+
 Connection Security refers to how you restrict and secure connections to your database using firewall rules and connection encryption.
 
 Firewall rules are used by both the server and the database to reject connection attempts from IP addresses that haven't been explicitly whitelisted. To allow connections from your application or client machine's public IP address, you must first create a server-level firewall rule using the Azure portal, REST API, or PowerShell. 
@@ -37,11 +38,12 @@ Azure Synapse Analytics uses server-level IP firewall rules. It doesn't support
 Connections to your SQL pool are encrypted by default.  Modifying connection settings to disable encryption are ignored.
 
 ## Authentication
+
 Authentication refers to how you prove your identity when connecting to the database. SQL pool currently supports SQL Server Authentication with a username and password, and with Azure Active Directory. 
 
 When you created the logical server for your database, you specified a "server admin" login with a username and password. Using these credentials, you can authenticate to any database on that server as the database owner, or "dbo" through SQL Server Authentication.
 
-However, as a best practice, your organization’s users should use a different account to authenticate. This way you can limit the permissions granted to the application and reduce the risks of malicious activity in case your application code is vulnerable to a SQL injection attack. 
+However, as a best practice, your organization's users should use a different account to authenticate. This way you can limit the permissions granted to the application and reduce the risks of malicious activity in case your application code is vulnerable to a SQL injection attack. 
 
 To create a SQL Server Authenticated user, connect to the **master** database on your server with your server admin login and create a new server login.  It's a good idea to also create a user in the master database. Creating a user in master allows a user to log in using tools like SSMS without specifying a database name.  It also allows them to use the object explorer to view all databases on a SQL server.
 

articles/synapse-analytics/sql-data-warehouse/sql-data-warehouse-overview-manageability-monitoring.md

@@ -1,6 +1,6 @@
 ---
 title: Manageability and monitoring - overview 
-description: Monitoring and manageability overview for resource utilization, log and query activity, recommendations, and data protection (backup and restore) with SQL pool.
+description: Monitoring and manageability overview for resource utilization, log and query activity, recommendations, and data protection (backup and restore) with Synapse SQL pool.
 services: synapse-analytics
 author: kevinvngo
 manager: craigg
@@ -13,9 +13,9 @@ ms.reviewer: igorstan
 ms.custom: seo-lt-2019
 ---
 
-# Manageability and monitoring with SQL pool
+# Manageability and monitoring with Synapse SQL pool
 
-SQL Analytics allows you to provision a data warehouse via SQL pool. The articles that follow will help you to manage and monitor your data warehouse. You'll also learn ways to optimize the data warehouse's usage and performance.
+Synapse SQL allows you to provision a data warehouse via SQL pool. The articles that follow will help you to manage and monitor your data warehouse. You'll also learn ways to optimize the data warehouse's usage and performance.
 
 ## Overview
 

articles/synapse-analytics/sql-data-warehouse/sql-data-warehouse-overview-what-is.md

@@ -17,7 +17,7 @@ ms.reviewer: igorstan
 Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs
 
 Azure Synapse has four components:
-- SQL Analytics: Complete T-SQL based analytics – Generally Available
+- Synapse SQL: Complete T-SQL based analytics – Generally Available
     - SQL pool (pay per DWU provisioned) 
     - SQL on-demand (pay per TB processed) – (Preview)
 - Spark: Deeply integrated Apache Spark (Preview) 
@@ -27,23 +27,23 @@ Azure Synapse has four components:
 > [!NOTE]
 > To access the preview features of Azure Synapse, request access [here](https://aka.ms/synapsepreview). Microsoft will triage all requests and respond as soon as possible.
 
-## SQL Analytics and SQL pool in Azure Synapse
+## Synapse SQL pool in Azure Synapse
 
-SQL Analytics refers to the enterprise data warehousing features that are generally available in Azure Synapse. 
+Synapse SQL pool refers to the enterprise data warehousing features that are generally available in Azure Synapse. 
 
-SQL pool represents a collection of analytic resources that are being provisioned when using SQL Analytics. The size of SQL pool is determined by Data Warehousing Units (DWU).
+SQL pool represents a collection of analytic resources that are being provisioned when using Synapse SQL. The size of SQL pool is determined by Data Warehousing Units (DWU).
 
-Import big data with simple [PolyBase](/sql/relational-databases/polybase/polybase-guide?view=sql-server-2017&viewFallbackFrom=azure-sqldw-latest) T-SQL queries, and then use the power of MPP to run high-performance analytics. As you integrate and analyze, SQL Analytics will become the single version of truth your business can count on for faster and more robust insights.  
+Import big data with simple [PolyBase](/sql/relational-databases/polybase/polybase-guide?view=sql-server-2017&viewFallbackFrom=azure-sqldw-latest) T-SQL queries, and then use the power of MPP to run high-performance analytics. As you integrate and analyze, Synapse SQL pool will become the single version of truth your business can count on for faster and more robust insights.  
 
 ## Key component of a big data solution
 
 Data warehousing is a key component of a cloud-based, end-to-end big data solution.
 
 ![Data warehouse solution](./media/sql-data-warehouse-overview-what-is/data-warehouse-solution.png) 
 
-In a cloud data solution, data is ingested into big data stores from a variety of sources. Once in a big data store, Hadoop, Spark, and machine learning algorithms prepare and train the data. When the data is ready for complex analysis, SQL Analytics uses PolyBase to query the big data stores. PolyBase uses standard T-SQL queries to bring the data into SQL Analytics tables.
+In a cloud data solution, data is ingested into big data stores from a variety of sources. Once in a big data store, Hadoop, Spark, and machine learning algorithms prepare and train the data. When the data is ready for complex analysis, Synapse SQL pool uses PolyBase to query the big data stores. PolyBase uses standard T-SQL queries to bring the data into Synapse SQL pool tables.
 
-SQL Analytics stores data in relational tables with columnar storage. This format significantly reduces the data storage costs, and improves query performance. Once data is stored, you can run analytics at massive scale. Compared to traditional database systems, analysis queries finish in seconds instead of minutes, or hours instead of days. 
+Synapse SQL pool stores data in relational tables with columnar storage. This format significantly reduces the data storage costs, and improves query performance. Once data is stored, you can run analytics at massive scale. Compared to traditional database systems, analysis queries finish in seconds instead of minutes, or hours instead of days. 
 
 The analysis results can go to worldwide reporting databases or applications. Business analysts can then gain insights to make well-informed business decisions.