What term is used for what was previously called a "Step" in data queries?

The term that has replaced "Step" in data queries is often referred to as "Transformation." This term captures the concept of altering or manipulating data during the querying process to achieve meaningful insights or to prepare the data for analysis.

In the context of data analysis, a transformation represents an operation applied to the data that changes its structure or format, such as filtering rows, aggregating values, or creating new calculated fields. This is an important aspect of data queries because it allows analysts to shape raw data into a more useful format that aligns with their analytical objectives.

While "Function," "Query," and "Dataset" are all relevant terms in data analysis, they do not represent the specific conceptual transition from "Step" to something more action-oriented like "Transformation." A function typically refers to a reusable piece of code that performs a specific task or calculation. A query is the broader action of retrieving data from a database, and a dataset refers to a collection of related data points, but none of these encapsulates the idea of modifying the data as effectively as "Transformation."