Difference between data blending and cross database join

Question

Accepted Answer

Data blending combines data from multiple sources while cross database join combines data from different tables in the same database.

Data blending is used when data is stored in different sources like Excel, CSV, or databases.
Cross database join is used when data is stored in different tables within the same database.
Data blending creates a relationship between the data sources based on common dimensions.
Cross database join combines data based on a common field or key.
Data blending can be used to combine data from different levels of granularity.
Cross database join can only combine data at the same level of granularity.
Data blending can result in slower performance due to the need to aggregate data from multiple sources.
Cross database join can result in faster performance as the data is already in the same database.
Examples of data blending include combining sales data from different regions or combining customer data from different sources.
Examples of cross database join include combining order data from different tables within the same database or combining employee data from different departments within the same database.

Popular interview questions of Tableau Developer