Update stream-analytics-introduction.md

Author: sidramadoss

articles/stream-analytics/stream-analytics-introduction.md

@@ -44,7 +44,7 @@ For the entire list of Stream Analytics outputs, see [Understand outputs from Az
 
 Azure Stream Analytics uses a SQL query language that has been augmented with powerful temporal constraints to analyze data in motion. You can also create jobs by using developer tools like Azure PowerShell, Azure CLI, Stream Analytics Visual Studio tools, the [Stream Analytics Visual Studio Code extension](quick-create-visual-studio-code.md), or Azure Resource Manager templates. Using developer tools allows you to develop transformation queries offline and use the CI/CD pipeline to submit jobs to Azure.
 
-The Stream Analytics query language allows to perform CEP (Complex Event Processing) by offering a wide array of functions for analyzing streaming data. This query language supports simple data manipulation, aggregation and analytics functions, geospatial functions, pattern matching and anomaly detection. You can edit queries in the portal or using our development tools, and test them using sample data that is extracted from a live stream.
+The Stream Analytics query language allows you to perform CEP (Complex Event Processing) by offering a wide array of functions for analyzing streaming data. This query language supports simple data manipulation, aggregation and analytics functions, geospatial functions, pattern matching and anomaly detection. You can edit queries in the portal or using our development tools, and test them using sample data that is extracted from a live stream.
 
 You can extend the capabilities of the query language by defining and invoking additional functions. You can define function calls in the Azure Machine Learning to take advantage of Azure Machine Learning solutions, and integrate JavaScript or C# user-defined functions (UDFs) or user-defined aggregates to perform complex calculations as part a Stream Analytics query.