Updata Jave LE overview

Author: davidpeterh

docs/language-extensions/java-overview.md

@@ -1,9 +1,10 @@
 ---
 title: What is Java Language Extension?
-description: In SQL Server 2019, Java, Python, and R are supported language extensions. Language Extensions are a feature of SQL Server used for executing external code.  Relational data can be used in the external code using the extensibility framework.
-author: cawrites
-ms.author: chadam 
-ms.date: 10/06/2020
+titleSuffix: SQL Server Language Extensions
+description: Java Language Extension is a feature of SQL Server used for executing external Java code. Relational data can be used in the external Java code using the extensibility framework.
+author: dphansen
+ms.author: davidph
+ms.date: 11/10/2020
 ms.topic: overview
 ms.prod: sql
 ms.technology: language-extensions
@@ -12,57 +13,36 @@ monikerRange: ">=sql-server-ver15||>=sql-server-linux-ver15||=sqlallproducts-all
 # What is Java Language Extension?
 [!INCLUDE [SQL Server 2019 and later](../includes/applies-to-version/sqlserver2019.md)]
 
-Language Extensions is a feature of SQL Server used for executing external code. The relational data can be used in the external code using the [extensibility framework](concepts/extensibility-framework.md).
+Java Language Extension is a feature of SQL Server used for executing external Java code. The relational data can be used in the external Java code using the [extensibility framework](concepts/extensibility-framework.md).
 
-In SQL Server 2019, Java is supported. The default Java runtime is Zulu Open JRE. You can also use another Java JRE or SDK.
+The default Java runtime is Zulu Open JRE. You can also use another Java JRE or SDK.
 
-> [!NOTE]
-> For executing Python or R in SQL Server, see the [SQL machine learning](../machine-learning/index.yml) documentation. With SQL Server 2019 and later, you can use a custom Python and R runtime with Language Extensions. For more information, see the [Python custom runtime](../machine-learning/install/custom-runtime-python.md) and the [R custom runtime](../machine-learning/install/custom-runtime-r.md).
+## What you can do with the Java Language Extension
 
-## What you can do with Language Extensions
+The Java Language Extension uses the extensibility framework for executing external Java code. Code execution is isolated from the core engine processes, but fully integrated with SQL Server query execution. You can execute Java code at the data's source, eliminating the need to pull data across the network.
 
-Language Extensions uses the extensibility framework for executing external code. Code execution is isolated from the core engine processes, but fully integrated with SQL Server query execution. You can execute code at the data's source, eliminating the need to pull data across the network.
+The external Java language is defined with [CREATE EXTERNAL LANGUAGE](https://docs.microsoft.com/sql/t-sql/statements/create-external-language-transact-sql). The system stored procedure [sp_execute_external_script](https://docs.microsoft.com/sql/relational-databases/system-stored-procedures/sp-execute-external-script-transact-sql) is used as the interface for executing the Java code.
 
-External languages are defined with [CREATE EXTERNAL LANGUAGE](https://docs.microsoft.com/sql/t-sql/statements/create-external-language-transact-sql). The system stored procedure [sp_execute_external_script](https://docs.microsoft.com/sql/relational-databases/system-stored-procedures/sp-execute-external-script-transact-sql) is used as the interface for executing the code.
+## Get started with Java Language Extension
 
-Language Extensions provide various advantages:
+1. [Install SQL Server Java Language Extension on Windows](install/windows-java.md) or [on Linux](../linux/sql-server-linux-setup-language-extensions-java.md).
 
-+ Data security. Bringing external language execution closer to the source of data avoids wasteful or insecure data movement.
-+ Speed. Databases are optimized for set-based operations. Recent innovations in databases such as in-memory tables make summaries and aggregations lightning, and are a perfect complement to data science.
-+ Ease of deployment and integration. [!INCLUDE[ssNoVersion](../includes/ssnoversion-md.md)] is the central point of operations for many other data management tasks and applications. By using data in the database, you ensure that the data used by Java is consistent and up-to-date.
+1. Configure a development tools.
 
-## How to get started
+    + Use the IDE you prefer for developing Java code.
+    + Install the [Microsoft Extensibility SDK for Java](how-to/extensibility-sdk-java-sql-server.md) to execute Java code on SQL Server.
+    + Use [Azure Data Studio](../azure-data-studio/what-is.md) for executing external code on SQL Server.
+    + Use the system stored procedure [sp_execute_external_script](https://docs.microsoft.com/sql/relational-databases/system-stored-procedures/sp-execute-external-script-transact-sql) to execute your Java code on SQL Server.
 
-### Step 1: Install the software
+1. Write your first Java code.
 
-+ [SQL Server Language Extensions on Windows](install/windows-java.md)
-+ [SQL Server Language Extensions on Linux](../linux/sql-server-linux-setup-language-extensions-java.md)
-
-### Step 2: Configure a development tool
-
-Developers typically write code on their own laptop or development workstation. With language extensions in SQL Server, there's no need to change this process. After installation is complete, you can run Java code on SQL Server.
-
-+ **Use the IDE you prefer** for developing Java code.
-
-+ **Install the [Microsoft Extensibility SDK for Java](how-to/extensibility-sdk-java-sql-server.md)** to execute Java code on SQL Server
-
-+ **Use [Azure Data Studio](https://docs.microsoft.com/sql/azure-data-studio/what-is) or [SQL Server Management Studio](https://docs.microsoft.com/sql/ssms/sql-server-management-studio-ssms)** for executing external code on SQL Server
-
-+ **Use the system stored procedure [sp_execute_external_script](https://docs.microsoft.com/sql/relational-databases/system-stored-procedures/sp-execute-external-script-transact-sql)** to execute your Java code on SQL Server.
-
-### Step 3: Write your first code
-
-Execute Java code from within T-SQL script:
-
-+ [Tutorial: Regular expressions with Java](tutorials/search-for-string-using-regular-expressions-in-java.md)
+    + [Tutorial: Regular expressions with Java](tutorials/search-for-string-using-regular-expressions-in-java.md)
 
 ## Limitations
 
-+ The number of values in input and output buffers can't exceed `MAX_INT (2^31-1)` since that is the maximum number of elements that can be allocated in an array in Java.
+The number of values in input and output buffers can't exceed `MAX_INT (2^31-1)` since that is the maximum number of elements that can be allocated in an array in Java.
 
 ## Next steps
 
-+ Install the [Python custom runtime for SQL Server](../machine-learning/install/custom-runtime-python.md)
-+ Install the [R custom runtime for SQL Server](../machine-learning/install/custom-runtime-r.md)
-+ Install the [SQL Server Language Extensions on Windows](../language-extensions/install/windows-java.md) or [on Linux](../linux/sql-server-linux-setup-language-extensions-java.md)
++ Install the [SQL Server Java Language Extension on Windows](install/windows-java.md) or [on Linux](../linux/sql-server-linux-setup-language-extensions-java.md)
 + Install the [Microsoft Extensibility SDK for Java](how-to/extensibility-sdk-java-sql-server.md)