What process connects two datasets by merging matching rows and appending columns?

The process of connecting two datasets by merging matching rows and appending columns is known as a join. In data management and analytics, a join operation allows you to combine records from不同的数据源 based on a related field or key that they share. When performing a join, the resulting dataset includes columns from both original datasets, providing a consolidated view of the information.

For example, if you have one dataset with customer information and another with order details, a join operation could merge these two datasets based on the customer ID, allowing you to see each customer's orders alongside their personal information. This increases the depth of analysis and enables more comprehensive reporting.

While filtering involves selecting a subset of data based on specific criteria, grouping data aggregates information and may alter the original structure, and unpivoting transforms data from a wide format to a long format. None of these processes specifically serve the function of merging rows based on matching values and appending columns.