- Course
Combine Data with Joins and Unions in Kusto Query Language (KQL)
In data engineering, it is essential to be able to combine multiple data sets. This course will teach you joins and unions, the two ways to join data sets in KQL.
Beginner
- Course
Combine Data with Joins and Unions in Kusto Query Language (KQL)
In data engineering, it is essential to be able to combine multiple data sets. This course will teach you joins and unions, the two ways to join data sets in KQL.
Beginner
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This course is included in the libraries shown below:
- Data
What you'll learn
Data engineering tasks, beyond very basic ones, will involve multiple data sets. These might have similar data from different places or times, or related data. Being able to combine them is an essential task.
In this course, Combine Data with Joins and Unions in Kusto Query Language (KQL), you’ll gain the ability to combine data sets together in multiple ways.
First, you’ll explore joins, looking at how to combine data sets containing related data.
Next, you’ll discover unions, combining data sets with the same or similar structures.
Finally, you’ll learn how to use advanced techniques to shape your query outputs however you need them.
When you’re finished with this course, you’ll have the skills and knowledge of KQL needed to work with data sets of any size and complexity.
Combine Data with Joins and Unions in Kusto Query Language (KQL)
Beginner
Table of contents
Gail Shaw is a Data Platform MVP and holds the MCM certification for SQL Server. Her specialties are in performance tuning and database recovery for SQL Server. She is a frequent poster on the SQL Server Central forums, writes articles for both SQLServerCentral.com and Simple-Talk.com, and often speaks at SQLBits and the PASS Community Summit.
