How does Alteryx process data input from various sources?

Alteryx processes data input from various sources by parsing it into tables, which is essential for analytical workflows. This process involves reading the raw data from different formats, such as spreadsheets, databases, and text files, and transforming it into a structured format, typically in the form of rows and columns, that can be easily analyzed.

By converting data into tables, Alteryx allows users to apply various operations, including filtering, sorting, and aggregating, to analyze the data effectively. This tabular format makes it easier to join datasets together or perform other data manipulation tasks, which are core functionalities of Alteryx's data preparation and analytics capabilities.

The other options do not accurately reflect how Alteryx primarily handles data input. Storing data in a binary format, while a technique used in some systems, is not the primary method for processing inputs in Alteryx. Generating graphs or compressing data are not the first steps in the data processing workflow; rather, these are typically subsequent actions taken after the data has been parsed into a manageable format.