Update tutorial-data-flow-sql-server.md

Author: kromerm

articles/data-factory/tutorial-data-flow-sql-server.md

@@ -9,11 +9,11 @@ ms.date: 05/23/2019
 ms.author: makromer
 ---
 
-# Copy data from Azure Blob to Azure SQL Database using Azure Data Factory
+# Transform data from on-prem SQL Server and send it to Azure SQL Database
 
-Azure Data Factory is a cloud-based data integration service that allows you to create data-driven workflows in the cloud for orchestrating and automating data movement and data transformation. Using Azure Data Factory, you can create and schedule data-driven workflows (called pipelines) that can ingest data from disparate data stores, process/transform the data by using compute services such as Azure HDInsight Hadoop, Spark, Azure Data Lake Analytics, and Azure Machine Learning, and publish output data to data stores such as Azure SQL Data Warehouse for business intelligence (BI) applications to consume. 
+Azure Data Factory is a cloud-based data integration and ETL service that allows you to create data-driven workflows in the cloud for orchestrating and automating data movement and data transformation. Using Azure Data Factory, you can create and schedule data-driven workflows (called pipelines) that can ingest data from disparate data stores, process/transform the data at scale with a code-free interface.
 
-In this tutorial, you create a Data Factory pipeline that copies data from Azure Blob Storage to Azure SQL Database. The configuration pattern in this tutorial applies to copying from a file-based data store to a relational data store. For a list of data stores supported as sources and sinks, see [supported data stores](copy-activity-overview.md#supported-data-stores-and-formats) table.
+In this tutorial, you create a Data Factory pipeline that copies data from SQL Server on-prem to Azure Blob for transformation using Mapping Data Flows. You'll then land the transformed data in Azure SQL Database.
 
 You perform the following steps in this tutorial: