Google Cloud Professional Data Engineer Exam 2025 - Free Practice Questions and Study Guide

The main purpose of metadata in data engineering is to provide context and meaning to data assets. Metadata serves as a crucial layer that helps data engineers, data scientists, and users understand the significance and characteristics of the data they are working with. It includes information such as the source of the data, its format, the schema that defines its structure, and any transformations it has undergone. By encapsulating this information, metadata enables easier data discovery, management, and governance, allowing teams to effectively interpret data and ensure appropriate usage within an organization.

This context is essential, especially when dealing with large datasets or complex data ecosystems, as it facilitates better data integration, quality assessment, and compliance with regulations. With clear metadata, data users can make informed decisions based on the data's attributes and lineage, which ultimately enhances the overall value derived from data analytics initiatives.