Incorporated Big Data Cluster feedback from PMs

Author: rothja

docs/big-data-cluster/big-data-cluster-overview.md

@@ -11,7 +11,7 @@ ms.prod: sql
 
 # What is SQL Server 2019 Big Data Clusters?
 
-Starting with [!INCLUDE[SQL Server 2019](../includes/sssqlv15-md.md)], SQL Big Data Clusters allows you to deploy scalable clusters of SQL Server containers on Kubernetes. These containers are then used to read, write, and process big data from Transact-SQL, allowing you to easily combine and analyze your high-value relational data with high-volume big data.
+Starting with [!INCLUDE[SQL Server 2019](../includes/sssqlv15-md.md)], SQL Big Data Clusters allows you to deploy scalable clusters of SQL Server, Spark, and HDFS Docker containers running on Kubernetes. These components are running side by side to enable you to read, write, and process big data from Transact-SQL or Spark, allowing you to easily combine and analyze your high-value relational data with high-volume big data.
 
 [!INCLUDE [Limited public preview note](../includes/big-data-cluster-preview-note.md)]
 

docs/sql-server/what-s-new-in-sql-server-ver15.md

@@ -48,11 +48,12 @@ Community technology preview (CTP) 2.0 is the first public release of [!INCLUDE[
   - Polybase
   - Expanded support for Persistent Memory (PMEM) devices
 
-- [Big Data Cluster](#bigdatacluster)
-  - Deploy a SQL Server Big Data Cluster with Linux containers on Kubernetes
-  - Use Azure Data Studio to run Jupyter Notebooks
-  - Ingest external data into a data pool
-  - Query HDFS data in the storage pool
+- [Big Data Clusters](#bigdatacluster)
+  - Deploy a Big Data cluster with SQL and Spark Linux containers on Kubernetes
+  - Access your big data from HDFS
+  - Run Advanced analytics and machine learning with Spark
+  - Use Spark streaming to data to SQL data pools
+  - Use Azure Data Studio to run Query books that provide a notebook experience
 
 - [SQL Server on Linux](#sqllinux)
   - Replication support
@@ -268,13 +269,17 @@ Any SQL Server file that is placed on a PMEM device operates in *enlightened* mo
 >[!NOTE]
 >For this preview release, support for Persistent Memory (PMEM) devices is only available on Linux.
 
-## <a id="bigdatacluster"></a>Big Data Cluster
+## <a id="bigdatacluster"></a>Big Data Clusters
 
-- Deploy a SQL Server Big Data Cluster with Linux containers on Kubernetes
-- Use Azure Data Studio to run Jupyter Notebooks
-- Ingest external data into a data pool
-- Query HDFS data in the storage pool
-- Access features with [**Azure Data Studio (preview)**](../sql-operations-studio/what-is.md)
+SQL Server 2019 [Big Data Clusters](../big-data-cluster/big-data-cluster-overview.md) enables new scenarios including the following:
+
+- Deploy a Big Data cluster with SQL and Spark Linux containers on Kubernetes
+- Access your big data from HDFS
+- Run Advanced analytics and machine learning with Spark
+- Use Spark streaming to data to SQL data pools
+- Run Query books that provide a notebook experience in [**Azure Data Studio (preview)**](../sql-operations-studio/what-is.md).
+  
+[!INCLUDE [Big Data Clusters preview](../includes/big-data-cluster-preview-note.md)]
 
 ## <a id="sqllinux"></a> SQL Server on Linux