Update machine-learning-data-science-move-data-to-azure-blob-using-ss…

…is.md

updated dates. some Acrolinx changes

articles/machine-learning/machine-learning-data-science-move-data-to-azure-blob-using-ssis.md

@@ -13,7 +13,7 @@ ms.workload: data-services
 ms.tgt_pltfrm: na
 ms.devlang: na
 ms.topic: article
-ms.date: 09/14/2016
+ms.date: 12/16/2016
 ms.author: bradsev
 
 ---
@@ -81,7 +81,7 @@ The parameters that the task uses are described here:
 To download data from Azure blob storage to on-premise storage with SSIS, use an instance of the [Azure Blob Upload Task](https://msdn.microsoft.com/library/mt146779.aspx).
 
 ## More advanced SSIS-Azure scenarios
-We note here that the SSIS feature pack allows for more complex flows to be handled by packaging tasks together. For example, the blob data could feed directly into an HDInsight cluster, whose output could be downloaded back to a blob and then to on-premise storage. SSIS can run Hive and Pig jobs on an HDInsight cluster using additional SSIS connectors:
+The SSIS feature pack allows for more complex flows to be handled by packaging tasks together. For example, the blob data could feed directly into an HDInsight cluster, whose output could be downloaded back to a blob and then to on-premise storage. SSIS can run Hive and Pig jobs on an HDInsight cluster using additional SSIS connectors:
 
 * To run a Hive script on an Azure HDInsight cluster with SSIS, use [Azure HDInsight Hive Task](https://msdn.microsoft.com/library/mt146771.aspx).
 * To run a Pig script on an Azure HDInsight cluster with SSIS, use [Azure HDInsight Pig Task](https://msdn.microsoft.com/library/mt146781.aspx).