Chapter 5: Combining Queries for Efficiency
Business analysts need to perform complex transformations that usually involve a combination of multiple queries. They often need to join data horizontally or to append tables.
With different ways of combining data, you can transform and model tables in order to optimize the information included. By leveraging different methods, you can perform merge and join transformations in order to enrich data or append and combine queries to scale and increase data volume automatically. The main aim is to create queries with relevant data that can serve different purposes, such as reporting, loading to Dataverse through Power Apps, or loading to Azure Data Lake to make this data available for other applications.
In this chapter, you will explore the following combining options within Power Query:
- Merging queries
- Joining methods
- Appending queries
- Combining multiple files
- Using the Query Dependencies view