connector naming

Author: Kat-Campise

articles/synapse-analytics/spark/synapse-spark-sql-pool-import-export.md

@@ -12,13 +12,13 @@ ms.reviewer: euang
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 # Introduction
 
-The Spark SQL Analytics Connector is designed to efficiently transfer data between Spark pool (preview) and SQL pools in Azure Synapse. The Spark SQL Analytics Connector works on SQL pools only, it doesn't work with SQL on-Demand.
+The Azure Synapse Apache Spark to Synapse SQL connector is designed to efficiently transfer data between Spark pools (preview) and SQL pools in Azure Synapse. The Azure Synapse Apache Spark to Synapse SQL connector works on SQL pools only, it doesn't work with SQL on-demand.
 
 ## Design
 
 Transferring data between Spark pools and SQL pools can be done using JDBC. However, given two distributed systems such as Spark and SQL pools, JDBC tends to be a bottleneck with serial data transfer.
 
-The Spark pool to SQL Analytics Connector is a data source implementation for Apache Spark. It uses the Azure Data Lake Storage Gen2 and Polybase in SQL pools to efficiently transfer data between the Spark cluster and the SQL Analytics instance.
+The Azure Synapse Apache Spark pool to Synapse SQL connector is a data source implementation for Apache Spark. It uses the Azure Data Lake Storage Gen2 and Polybase in SQL pools to efficiently transfer data between the Spark cluster and the Synapse SQL instance.
 
 ![Connector Architecture](./media/synapse-spark-sqlpool-import-export/arch1.png)