Merge pull request #115328 from Kat-Campise/sql_articles_6

sql articles 6

Author: tfosmark

articles/synapse-analytics/quickstart-sql-on-demand.md

@@ -1,5 +1,5 @@
 ---
-title: Using SQL on-demand (preview)
+title: Use SQL on-demand (preview)
 description: In this quickstart, you'll see and learn how easy is to query various types of files using SQL on-demand (preview).
 services: synapse-analytics
 author: azaricstefan
@@ -11,11 +11,11 @@ ms.author: v-stazar
 ms.reviewer: jrasnick
 ---
 
-# Quickstart: Using SQL on-demand
+# Quickstart: Use SQL on-demand
 
 Synapse SQL on-demand  (preview) is a serverless query service that enables you to run SQL queries on files placed in Azure Storage. In this quickstart, you'll learn how to query various types of files using SQL on-demand. Supported formats are listed in [OPENROWSET](sql/develop-openrowset.md).
 
-This quickstart shows querying for CSV, Apache Parquet, and JSON files.
+This quickstart shows querying: CSV, Apache Parquet, and JSON files.
 
 ## Prerequisites
 
@@ -25,7 +25,7 @@ Choose a SQL client to issue queries:
 - [Azure Data Studio](sql/get-started-azure-data-studio.md) is a client tool that enables you to run SQL queries and notebooks on your On-demand database.
 - [SQL Server Management Studio](sql/get-started-ssms.md) is a client tool that enables you to run SQL queries on your On-demand database.
 
-Parameters for quickstart:
+Parameters for this quickstart:
 
 | Parameter                                 | Description                                                   |
 | ----------------------------------------- | ------------------------------------------------------------- |
@@ -84,7 +84,7 @@ SECRET = 'sv=2018-03-28&ss=bf&srt=sco&sp=rl&st=2019-10-14T12%3A10%3A25Z&se=2061-
 GO
 ```
 
-## Querying CSV files
+## Query CSV files
 
 The following image is a preview of the file to be queried:
 
@@ -113,7 +113,7 @@ WHERE
 You can specify schema at query compilation time.
 For more examples, see how to [query CSV file](sql/query-single-csv-file.md).
 
-## Querying parquet files
+## Query Parquet files
 
 The following sample shows the automatic schema inference capabilities for querying Parquet files. It returns the number of rows in September of 2017 without specifying schema.
 
@@ -131,7 +131,7 @@ FROM OPENROWSET
 
 Find more information about [querying parquet files](sql/query-parquet-files.md).
 
-## Querying JSON files
+## Query JSON files
 
 ### JSON sample file
 
@@ -153,7 +153,7 @@ Files are stored in *json* container, folder *books*, and contain single book en
 }
 ```
 
-### Querying JSON files
+### Query JSON files
 
 The following query shows how to use [JSON_VALUE](/sql/t-sql/functions/json-value-transact-sql?toc=/azure/synapse-analytics/toc.json&bc=/azure/synapse-analytics/breadcrumb/toc.json&view=azure-sqldw-latest) to retrieve scalar values (title, publisher) from a book with the title *Probabilistic and Statistical Methods in Cryptology, An Introduction by Selected articles*:
 

articles/synapse-analytics/sql/create-external-table-as-select.md

@@ -13,7 +13,7 @@ ms.reviewer: jrasnick, carlrab
 
 # Store query results to storage using SQL on-demand (preview) using Azure Synapse Analytics
 
-In this article, you'll learn how to store query results to the storage using SQL On-demand (preview).
+In this article, you'll learn how to store query results to storage using SQL On-demand (preview).
 
 ## Prerequisites
 
@@ -24,7 +24,7 @@ Your first step is to review the articles below and make sure you've met the pre
 
 ## Create external table as select
 
-You can use CREATE EXTERNAL TABLE AS SELECT (CETAS) statement to store the query results to the storage.
+You can use the CREATE EXTERNAL TABLE AS SELECT (CETAS) statement to store the query results to  storage.
 
 > [!NOTE]
 > Change the first line in the query, i.e., [mydbname], so you're using the database you created. If you have not created a database, please read [First-time setup](query-data-storage.md#first-time-setup). You need to change LOCATION for MyDataSource external data source to point to location you have write permission for. 
@@ -69,9 +69,9 @@ FROM
 
 ```
 
-## Use a external table created
+## Use the external table
 
-You can use external table created through CETAS like a regular external table.
+You can use the external table created through CETAS like a regular external table.
 
 > [!NOTE]
 > Change the first line in the query, i.e., [mydbname], so you're using the database you created. If you have not created a database, please read [First-time setup](query-data-storage.md#first-time-setup).
@@ -91,4 +91,4 @@ ORDER BY
 
 ## Next steps
 
-For information on how to query different file types, refer to the [Query single CSV file](query-single-csv-file.md), [Query Parquet files](query-parquet-files.md), and [Query JSON files](query-json-files.md) articles.
+For more information on how to query different file types, refer to the [Query single CSV file](query-single-csv-file.md), [Query Parquet files](query-parquet-files.md), and [Query JSON files](query-json-files.md) articles.