Merge pull request #49452 from v-thpra/azure-triage-fix-1023960

v-dirichards · web-flow · commit 3eb5d8918da4 · 2025-03-10T11:29:18.000-05:00
Technical Review 1023960: Write multi-table queries by using Kusto Query Language
diff --git a/learn-pr/azure/multi-table-queries-with-kusto-query-language/1-introduction.yml b/learn-pr/azure/multi-table-queries-with-kusto-query-language/1-introduction.yml
@@ -5,7 +5,7 @@ metadata:
   unitType: introduction
   title: This unit introduces you to writing Kusto Query Language (KQL) queries to combine and retrieve data from two or more tables.
   description: Introduction
-  ms.date: 01/03/2024
+  ms.date: 03/07/2025
   author: shsagir
   ms.author: shsagir
   ms.topic: unit
diff --git a/learn-pr/azure/multi-table-queries-with-kusto-query-language/2-multi-table-queries.yml b/learn-pr/azure/multi-table-queries-with-kusto-query-language/2-multi-table-queries.yml
@@ -5,7 +5,7 @@ metadata:
   unitType: learning-content
   title: Combine and optimize data
   description: In this unit, you learn about various ways to combine and optimize data by using Kusto queries.
-  ms.date: 01/03/2024
+  ms.date: 03/07/2025
   author: shsagir
   ms.author: shsagir
   ms.topic: unit
diff --git a/learn-pr/azure/multi-table-queries-with-kusto-query-language/3-exercise-connect-to-resources.yml b/learn-pr/azure/multi-table-queries-with-kusto-query-language/3-exercise-connect-to-resources.yml
@@ -4,8 +4,8 @@ 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.
-  ms.date: 01/03/2024
+  description: In this exercise, you learn how to connect to a database that holds the sales data.
+  ms.date: 03/07/2025
   author: shsagir
   ms.author: shsagir
   ms.topic: unit
diff --git a/learn-pr/azure/multi-table-queries-with-kusto-query-language/4-exercise-join-types.yml b/learn-pr/azure/multi-table-queries-with-kusto-query-language/4-exercise-join-types.yml
@@ -4,8 +4,8 @@ title: Exercise - Combine table results by using the join operator
 metadata:
   unitType: exercise
   title: Exercise - Combine table results by using the join operator
-  description: In this exercise, you'll learn how to combine table results by using the join operator.
-  ms.date: 01/03/2024
+  description: In this exercise, you learn how to combine table results by using the join operator.
+  ms.date: 03/07/2025
   author: shsagir
   ms.author: shsagir
   ms.topic: unit
diff --git a/learn-pr/azure/multi-table-queries-with-kusto-query-language/5-exercise-lookup.yml b/learn-pr/azure/multi-table-queries-with-kusto-query-language/5-exercise-lookup.yml
@@ -4,8 +4,8 @@ title: Exercise - Combine table results by using the lookup operator
 metadata:
   unitType: exercise
   title: Exercise - Combine table results by using the lookup operator
-  description: In this exercise, you'll combine table results by using the lookup operator.
-  ms.date: 01/03/2024
+  description: In this exercise, you combine table results by using the lookup operator.
+  ms.date: 03/07/2025
   author: shsagir
   ms.author: shsagir
   ms.topic: unit
diff --git a/learn-pr/azure/multi-table-queries-with-kusto-query-language/6-exercise-union.yml b/learn-pr/azure/multi-table-queries-with-kusto-query-language/6-exercise-union.yml
@@ -4,8 +4,8 @@ title: Exercise - Combine table results by using the union operator
 metadata:
   unitType: exercise
   title: Exercise - Combine table results by using the union operator
-  description: In this exercise, you'll use the union operator to combine sales facts that were collected from various countries/regions.
-  ms.date: 01/03/2024
+  description: In this exercise, you use the union operator to combine sales facts that were collected from various countries/regions.
+  ms.date: 03/07/2025
   author: shsagir
   ms.author: shsagir
   ms.topic: unit
diff --git a/learn-pr/azure/multi-table-queries-with-kusto-query-language/7-exercise-materialize.yml b/learn-pr/azure/multi-table-queries-with-kusto-query-language/7-exercise-materialize.yml
@@ -4,8 +4,8 @@ title: Exercise - Optimize queries by using the materialize function
 metadata:
   unitType: exercise
   title: Exercise - Optimize queries by using the materialize function
-  description: In this exercise, you'll use the materialize function to optimize queries.
-  ms.date: 01/03/2024
+  description: In this exercise, you use the materialize function to optimize queries.
+  ms.date: 03/07/2025
   author: shsagir
   ms.author: shsagir
   ms.topic: unit
diff --git a/learn-pr/azure/multi-table-queries-with-kusto-query-language/8-knowledge-check.yml b/learn-pr/azure/multi-table-queries-with-kusto-query-language/8-knowledge-check.yml
@@ -5,7 +5,7 @@ metadata:
   unitType: knowledge_check
   title: Knowledge check
   description: "Review what you learned about multi-table queries in the Kusto Query language."
-  ms.date: 01/03/2024
+  ms.date: 03/07/2025
   author: shsagir
   ms.author: shsagir
   ms.topic: unit
diff --git a/learn-pr/azure/multi-table-queries-with-kusto-query-language/9-summary.yml b/learn-pr/azure/multi-table-queries-with-kusto-query-language/9-summary.yml
@@ -3,9 +3,9 @@ uid: learn.multi-table-queries-with-kusto-query-language.summary
 title: Summary
 metadata:
   unitType: summary
-  title: summary
+  title: Summary
   description: "In this module, you learned how to combine data from several tables to gain further insights from the enriched data."
-  ms.date: 01/03/2024
+  ms.date: 03/07/2025
   author: shsagir
   ms.author: shsagir
   ms.topic: unit
diff --git a/learn-pr/azure/multi-table-queries-with-kusto-query-language/includes/1-introduction.md b/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.
diff --git a/learn-pr/azure/multi-table-queries-with-kusto-query-language/includes/3-exercise-connect-to-resources.md b/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**.
diff --git a/learn-pr/azure/multi-table-queries-with-kusto-query-language/includes/4-exercise-join-types.md b/learn-pr/azure/multi-table-queries-with-kusto-query-language/includes/4-exercise-join-types.md
@@ -1,6 +1,6 @@
 In this exercise, you learn how to use the `join` operator. Recall that the `join` operator merges the rows of two tables by matching values of the specified columns from each table. 
 
-Let's use the results of the `join` operator to answer questions about sales.
+Let's use the results of the `join` operator for answering questions about sales.
 
 ## Use the `join` operator
 
@@ -68,7 +68,7 @@ Your team then asks you to identify the countries/regions with the lowest revenu
 
 Your sales team wants to know the total sales by product category. When you start reviewing the available data, you realize that you need the *Products* table to get the list of product categories and the *SalesFact* table to get the sales data. You also realize that you want to count the sales for each category and list all product categories.
 
-Having analyzed the request, you choose to use the *rightouter* `join`, because it returns all sales records from the right table, enriched with matching data product category from the left table. You write your query by using the *Products* table as the left dimension table, matching data from the *SalesFact* facts table, and grouping the result by product category.
+After analyzing the request, you decide to use the *rightouter* `join`, because it returns all sales records from the right table, enriched with matching data product category from the left table. You write your query by using the *Products* table as the left dimension table, matching data from the *SalesFact* facts table, and grouping the result by product category.
 
 1. Run the following query.
 
diff --git a/learn-pr/azure/multi-table-queries-with-kusto-query-language/includes/6-exercise-union.md b/learn-pr/azure/multi-table-queries-with-kusto-query-language/includes/6-exercise-union.md
@@ -35,7 +35,7 @@ Examining these tables, you can see that they have the same columns. The only di
 
 1. Notice that you get all the rows from the three tables. Try modifying the query to add simulated data for France and combining it with the data from the other countries/regions.
 
-In the following sections, you use the `let` statement to create ad hoc tables that simulate data, with the columns required for the scenarios.
+In the following sections, you use the `let` statement to create improvised tables that simulate data, with the columns required for the scenarios.
 
 ## Use the `union` operator with tables that have different columns
 
@@ -68,7 +68,7 @@ The next month, your sales team again asks you to create the sales data from the
 
     :::image type="content" source="../media/6-union-2.png" alt-text="Screenshot of the union operator, with tables that have different columns, query, and results.":::
 
-1. Notice that you get all the rows from the three tables and all the columns that occur in any of the tables. Cells that aren't defined by an input row are set to null. Try modifying the query to add more columns and see how their values are populated in the results.
+1. Notice that you get all the rows from the three tables and all the columns that occur in any of the tables. Cells that the input row doesn't define are set to null. Try modifying the query to add more columns and see how their values are populated in the results.
 
 ## Use the `union` operator with tables that have different columns and return only the columns that occur in all tables
 
diff --git a/learn-pr/azure/multi-table-queries-with-kusto-query-language/index.yml b/learn-pr/azure/multi-table-queries-with-kusto-query-language/index.yml
@@ -4,13 +4,13 @@ metadata:
   moduleType: standard
   title: Write multi-table queries by using Kusto Query Language
   description: Learn how to write Kusto Query Language (KQL) queries to combine and retrieve data from two or more tables by using the `lookup`, `join`, and `union` operators.
-  ms.date: 01/03/2024
+  ms.date: 03/07/2025
   author: shsagir
   ms.author: shsagir
   ms.topic: module
   ms.service: kusto
 title: Write multi-table queries by using Kusto Query Language
-summary: Write advanced queries in Kusto Query Language to gain deeper insights by combining data from several tables. Learn how to use the table-level operators `lookup`, `join`, `union`, and `materialize`, and the new aggregation functions `arg_min` and `arg_max`. Also, learn how to communicate these results visually in charts.
+summary: Write advanced queries in Kusto Query Language and gain deeper insights by combining data from several tables. Learn how to use the table-level operators `lookup`, `join`, `union`, and `materialize`, and the new aggregation functions `arg_min` and `arg_max`. Also, learn how to communicate these results visually in charts.
 abstract: |
   By the end of this module, you're able to:
     - Use Kusto Query Language to combine and retrieve data from two or more tables by using the `lookup`, `join`, and `union` operators.
