In Alteryx, how can you join two datasets?

The Join Tool is specifically designed to combine two datasets by matching rows based on specified keys. When you use this tool, you can define which fields should be used to identify matching records in both datasets. This allows you to efficiently merge the datasets while preserving the relational context, which is essential for effective data analysis.

In using the Join Tool, you can also specify how to handle unmatched records, resulting in three output streams: matched records, records only in the left dataset, and records only in the right dataset. This functionality is crucial for tasks where you need to understand relationships between datasets and perform further analysis on joined data.

Other options would not effectively fulfill the requirement of joining datasets with the same level of adequacy and efficiency as the Join Tool. For instance, the Sample Tool is designed for selecting a portion of data and does not perform joining operations. Manually copying data is not practical for large datasets and increases the risk for errors and inconsistencies, while the Filter Tool is used for subsetting data based on specified conditions, rather than merging datasets.