What does "data blending" refer to in Alteryx?

Data blending in Alteryx specifically refers to the process of merging datasets from different sources to create a comprehensive view of the data. This allows users to combine various fields and records that may reside in separate datasets, facilitating more in-depth analysis and insights.

When performing data blending, Alteryx allows for the integration of diverse data types, such as databases, flat files, and cloud data, into a cohesive dataset. This is crucial for analysts who need to analyze relationships or patterns across multiple datasets without having to physically combine the data beforehand.

The other options, while related to data processing in Alteryx, do not capture the essence of data blending. Filtering records pertains to selecting specific data based on certain criteria, creating reports focuses on summarizing data for presentation, and exporting to various file types involves saving data in different formats. None of these options encapsulate the concept of merging datasets, which is the core function of data blending.