Merge pull request #115338 from euangms/euang-fixbranding

Fix Spark branding

Author: SyntaxC4

articles/synapse-analytics/overview-what-is.md

@@ -19,11 +19,11 @@ Today enterprise analytics requires operating at massive scale on any kind of da
 
 Solutions like this are difficult to build, configure, secure, and maintain, which delays the swift extraction of intelligent insight.
 
-**Azure Synapse** is an integrated analytics service that accelerates time to insight from all data at any scale, across data warehouses and big data analytics systems​. It brings together the best of the **SQL** technologies used in enterprise data warehousing, **Spark** technologies used in big data analytics, and **Pipelines** to orchestrate activities and data movement. 
+**Azure Synapse** is an integrated analytics service that accelerates time to insight from all data at any scale, across data warehouses and big data analytics systems​. It brings together the best of the **SQL** technologies used in enterprise data warehousing, **Spark** technologies used in big data analytics, and **Pipelines** to orchestrate activities and data movement.
 
 Azure Synapse comes with a web-native **Studio** user experience that provides a single experience and model for management, monitoring, coding, and security.
 
-Azure Synapse provides the simplest and fastest way for an enterprise to gather insights on any data at any size, using the analytics they're most familiar with. It integrates deeply with **Power BI** allowing data engineers to build analytics solutions that work end-to-end to provide Business Intelligence. 
+Azure Synapse provides the simplest and fastest way for an enterprise to gather insights on any data at any size, using the analytics they're most familiar with. It integrates deeply with **Power BI** allowing data engineers to build analytics solutions that work end-to-end to provide Business Intelligence.
 
 Additionally, Azure Synapse facilitates predictive model building and advanced analytics with machine learning via its built-in support for **AzureML**.
 
@@ -40,14 +40,14 @@ scenarios using standard T-SQL experiences familiar to data engineers. It also e
 
 ### Industry-standard Apache Spark
 
-**Synapse Spark** deeply and seamlessly integrates Apache Spark--the most popular open source big data engine used for data preparation, data engineering, ETL, and machine learning.
+**Apache Spark for Azure Synapse** deeply and seamlessly integrates Apache Spark--the most popular open source big data engine used for data preparation, data engineering, ETL, and machine learning.
 
 * ML models with SparkML algorithms and AzureML integration for Apache Spark 2.4 with built-in support for Linux Foundation Delta Lake.
 * Simplified resource model that frees you from having to worry about managing clusters.
 * Fast Spark start-up and aggressive autoscaling.
 * Built-in support for .NET for Spark allowing you to reuse your C# expertise and existing .NET code within a Spark application.
 
-### Interop of SQL and Spark on your Data Lake
+### Interop of SQL and Apache Spark on your Data Lake
 
 Azure Synapse removes the traditional technology barriers between using SQL and Spark together. You can seamlessly mix and match based on your needs and expertise.
 

articles/synapse-analytics/quickstart-apache-spark-notebook.md

@@ -1,5 +1,5 @@
 ---
-title: 'Quickstart: Create an Apache Spark notebook'
+title: 'Quickstart: Create an Apache Spark for Azure Synapse Analytics notebook'
 description: This quickstart shows how to use the web tools to create an Apache Spark pool (preview) in Azure Synapse Analytics, and run a Spark SQL query.
 services: synapse-analytics
 author: euangMS

articles/synapse-analytics/quickstart-connect-synapse-link-cosmos-db.md

@@ -26,15 +26,16 @@ Before you connect an Azure Cosmos DB account to your workspace, there are a few
 
 To run large-scale analytics into Azure Cosmos DB without impacting your operational performance, we recommend enabling Synapse Link for Azure Cosmos DB. This function brings HTAP capability to a container and built-in support in Azure Synapse. Follow this quickstart to enable Synapse Link for Cosmos DB containers.
 
-## Navigate to Synapse Studio 
+## Navigate to Synapse Studio
 
 From your Synapse workspace, select **Launch Synapse Studio**. On the Synapse Studio home page, select **Data, which will take you to the **Data Object Explorer**.
 
-## Connect an Azure Cosmos DB database to a Synapse workspace 
+## Connect an Azure Cosmos DB database to a Synapse workspace
 
-Connecting an Azure Cosmos DB database is done as linked service. A Cosmos DB linked service enables users to browse and explore data, read, and write from Synapse Spark or SQL into Azure Cosmos DB. 
+Connecting an Azure Cosmos DB database is done as linked service. A Cosmos DB linked service enables users to browse and explore data, read, and write from Apache Spark for Azure Synapse Analytics or SQL into Azure Cosmos DB.
 
 From the Data Object Explorer, you can directly connect an Azure Cosmos DB database by doing the following steps:
+
 1. Select ***+*** icon near Data
 2. Select **Connect to external data**
 3. Select the API that you want to connect to: SQL or MongoDB
@@ -61,4 +62,4 @@ When you right-click into a container, you'll have a list of gestures that will
 ## Next steps
 
 * [Learn what is supported between Synapse and Azure Cosmos DB](./synapse-link/concept-synapse-link-cosmos-db-support.md)
-* [Learn how to query an analytical store with Synapse Spark](synapse-link/how-to-query-analytical-store-spark.md)
+* [Learn how to query an analytical store with Apache Spark for Azure Synapse Analytics](synapse-link/how-to-query-analytical-store-spark.md)

articles/synapse-analytics/security/how-to-set-up-access-control.md

@@ -22,7 +22,7 @@ To secure a Synapse workspace (preview), you'll follow a pattern of configuring
 - Synapse roles – these roles are unique to Synapse and aren't based on Azure roles. There are three of these roles:
   - Synapse workspace admin
   - Synapse SQL admin
-  - Synapse Spark admin
+  - Apache Spark for Azure Synapse Analytics admin
 - Access control for data in Azure Data Lake Storage Gen 2 (ADLSGEN2).
 - Access control for Synapse SQL and Spark databases
 

articles/synapse-analytics/spark/apache-spark-autoscale.md

@@ -12,7 +12,7 @@ ms.date: 03/31/2020
 
 # Automatically scale Azure Synapse Analytics Apache Spark pools
 
-Azure Synapse Spark pool's Autoscale feature automatically scales the number of nodes in a cluster instance up and down. During the creation of a new Azure Synapse Spark pool, a minimum and maximum number of nodes can be set when Autoscale is selected. Autoscale then monitors the resource requirements of the load and scales the number of nodes up or down. There's no additional charge for this feature.
+Apache Spark for Azure Synapse Analytics pool's Autoscale feature automatically scales the number of nodes in a cluster instance up and down. During the creation of a new Apache Spark for Azure Synapse Analytics pool, a minimum and maximum number of nodes can be set when Autoscale is selected. Autoscale then monitors the resource requirements of the load and scales the number of nodes up or down. There's no additional charge for this feature.
 
 ## Metrics monitoring
 

articles/synapse-analytics/spark/apache-spark-job-definitions.md

@@ -1,6 +1,6 @@
 ---
-title: 'Tutorial - Azure Synapse Analytics: Spark job definition for Synapse'
-description: Tutorial - Use the Azure Synapse Analytics to create Spark job definitions, and submit them to a Synapse Spark pool.
+title: 'Tutorial - Apache Spark for Azure Synapse Analytics: Apache Spark job definition for Synapse'
+description: Tutorial - Use the Azure Synapse Analytics to create Spark job definitions, and submit them to a Apache Spark for Azure Synapse Analytics pool.
 author: hrasheed-msft
 ms.author: jejiang
 ms.reviewer: jasonh

articles/synapse-analytics/spark/apache-spark-version-support.md

@@ -1,5 +1,5 @@
 ---
-title: Synapse Spark version support 
+title: Apache Spark for Azure Synapse Analytics version support 
 description: Supported versions of Spark, Scala, Python
 services: synapse-analytics
 author: euangMS 
@@ -37,11 +37,11 @@ Apache Spark in Azure Synapse includes .NET Core 3.0
 
 ## .NET Support for Apache Spark
 
-Azure Synapse includes .NET Support for Apache Spark 0.5.0
+Azure Synapse includes .NET Support for Apache Spark 0.11.0
 
 ## Delta Lake
 
-Synapse Analytics includes support for Delta Lake 0.5.0
+Synapse Analytics includes support for Delta Lake 0.6.0
 
 ## Python version
 

articles/synapse-analytics/spark/spark-dotnet.md

@@ -15,7 +15,7 @@ ms.reviewer: jrasnick
 
 [.NET for Apache Spark](https://dot.net/spark) is free, open-source, and cross-platform .NET support for Spark. .NET for Apache Spark provides .NET bindings for Spark which allow you to access Spark APIs through C# and F#. With .NET for Apache Spark, you have the ability to write and execute user-defined functions for Spark using .NET. The .NET APIs for Spark enable you to access all aspects of Spark that help you analyze your data, including Spark SQL and Structured Streaming.
 
-You can analyze data with .NET for Apache Spark through Spark batch job definitions or with interactive Azure Synapse Analytics notebooks. In this article, you learn how to use .NET for Apache Spark with Azure Synapse using both techniques. 
+You can analyze data with .NET for Apache Spark through Spark batch job definitions or with interactive Azure Synapse Analytics notebooks. In this article, you learn how to use .NET for Apache Spark with Azure Synapse using both techniques.
 
 ## Submit batch jobs using the Spark job definition
 
@@ -48,9 +48,9 @@ Notebooks are a great option for prototyping your .NET for Apache Spark pipeline
 
 ### How to use notebooks
 
-When you create a new notebook, you choose a language kernel that you wish to express your business logic. There is kernel support for several languages, including C#. 
+When you create a new notebook, you choose a language kernel that you wish to express your business logic. There is kernel support for several languages, including C#.
 
-To use .NET for Apache Spark in your Azure Synapse Analytics notebook, select **.NET Spark (C#)** as your kernel and attach the notebook to an existing Spark pool. 
+To use .NET for Apache Spark in your Azure Synapse Analytics notebook, select **.NET Spark (C#)** as your kernel and attach the notebook to an existing Spark pool.
 
 The .NET Spark notebook is based on the .NET interactive experiences and provides interactive C# experiences with the ability to use .NET for Spark out of the box with the Spark session variable `spark` already predefined.
 

articles/synapse-analytics/sql/best-practices-sql-on-demand.md

@@ -114,7 +114,7 @@ For more information, check [filename](develop-storage-files-overview.md#filenam
 > Always cast result of filepath and fileinfo functions to appropriate data types. If you use character data types, make sure appropriate length is used.
 
 > [!NOTE]
-> Functions used for partition elimination, filepath and fileinfo, are not currently supported for external tables other than those created automatically for each table created in Synapse Spark.
+> Functions used for partition elimination, filepath and fileinfo, are not currently supported for external tables other than those created automatically for each table created in Apache Spark for Azure Synapse Analytics.
 
 If your stored data isn't partitioned, consider partitioning it so you can use these functions to optimize queries targeting those files. When [querying partitioned Spark tables](develop-storage-files-spark-tables.md) from SQL on-demand, the query will automatically target only the files needed.
 

articles/synapse-analytics/synapse-link/how-to-connect-synapse-link-cosmos-db.md

@@ -13,7 +13,7 @@ ms.reviewer: jrasnick
 
 # Connect to Azure Synapse Link for Azure Cosmos DB
 
-This article describes how to access an Azure Cosmos DB database from Azure Synapse Analytics Studio with Azure Synapse Link. 
+This article describes how to access an Azure Cosmos DB database from Azure Synapse Analytics Studio with Azure Synapse Link.
 
 ## Prerequisites
 
@@ -26,15 +26,16 @@ Before you connect an Azure Cosmos DB database to your workspace, you'll need th
 
 To run large-scale analytics into Azure Cosmos DB without impacting your operational performance, we recommend enabling Synapse Link for Azure Cosmos DB. Synapse Link brings HTAP capability to a container and built-in support in Azure Synapse.
 
-## Navigate to Synapse Studio 
+## Navigate to Synapse Studio
 
-From your Synapse workspace, select **Launch Synapse Studio**. On the Synapse Studio home page, select **Data, which will take you to the **Data Object Explorer**. 
+From your Synapse workspace, select **Launch Synapse Studio**. On the Synapse Studio home page, select **Data, which will take you to the **Data Object Explorer**.
 
-## Connect an Azure Cosmos DB database to a Synapse workspace 
+## Connect an Azure Cosmos DB database to a Synapse workspace
 
-Connecting an Azure Cosmos DB database is done as a linked service. An Azure Cosmos DB linked service enables users to browse and explore data, read, and write from Synapse Spark or SQL into Azure Cosmos DB. 
+Connecting an Azure Cosmos DB database is done as a linked service. An Azure Cosmos DB linked service enables users to browse and explore data, read, and write from Apache Spark for Azure Synapse Analytics or SQL into Azure Cosmos DB.
 
 From the Data Object Explorer, you can directly connect to an Azure Cosmos DB database by doing the following steps:
+
 1. Select ***+*** icon near Data
 2. Select **Connect to external data**
 3. Select the API that you want to connect to: SQL API or API for MongoDB