review-1

Author: v-thpra

learn-pr/azure/multi-table-queries-with-kusto-query-language/3-exercise-connect-to-resources.yml

@@ -4,7 +4,7 @@ title: Exercise - Connect to resources
 metadata:
   unitType: exercise
   title: Exercise - Connect to resources
-  description: In this exercise, you'll learn how to connect to a database that holds the sales data.
+  description: In this exercise, you learn how to connect to a database that holds the sales data.
   ms.date: 01/03/2024
   author: shsagir
   ms.author: shsagir

learn-pr/azure/multi-table-queries-with-kusto-query-language/includes/1-introduction.md

@@ -4,9 +4,9 @@ Kusto Query Language (KQL) lets you explore your data to discover patterns, iden
 
 Suppose you work at a retail company that sells a wide range of products. You're the data analyst on the sales team that's responsible for providing insights that help the team promote awareness of their products and grow sales. You want to provide the desired insights, but to do so requires data spread across several tables. You want to use KQL to gain the insights by querying data from multiple tables.
 
-## What will we be doing?
+## What are we going to do?
 
-Writing queries in Kusto Query Language (KQL) to first enrich data by combining multiple tables and then analyze that data for deeper insights. In this module, you learn how to:
+Write queries in Kusto Query Language (KQL) to first enrich data by combining multiple tables and then analyze that data for deeper insights. In this module, you learn how to:
 
 - Extend a fact table with dimension table data by using the `join` or `lookup` operators.
 - Merge or append rows from multiple tables or tabular expressions by using the `union` operator.

learn-pr/azure/multi-table-queries-with-kusto-query-language/includes/3-exercise-connect-to-resources.md

@@ -7,7 +7,7 @@ To complete the exercises in this module, you need one of the following accounts
 
 ## Connect to the data
 
-In this exercise, you use the Azure Data Explorer web interface to connect to the data. However, you can also use the Kusto Query Language itself in Azure Monitor Logs, Azure Sentinel, and other services. You only need to connect once. Then, continue to use this data connection for all queries throughout this module.
+In this exercise, you use the Azure Data Explorer web interface to connect to the data. However, you can also use the Kusto Query Language itself in Azure Monitor Logs, Microsoft Sentinel, and other services. You only need to connect once. Then, continue to use this data connection for all queries throughout this module.
 
 1. Use your Azure account to sign in to the [Azure Data Explorer web UI](https://dataexplorer.azure.com/).
 1. In the left pane, select the  **+ Add** dropdown, and then select **Connection**.