Google Data Analytics Professional Certification Practice Test

Descriptive metadata refers to the information that provides details about a data piece, including its content, context, and characteristics. This type of metadata helps users to understand the data's purpose and relevance, making it easier to discover, manage, and utilize the data effectively. It typically includes elements such as titles, authors, keywords, and summaries, which describe what the data is about and its significance in a broader context.

By understanding descriptive metadata, data analysts can better interpret the data they are working with, as it provides crucial context that aids in data analysis and decision-making. This is particularly important in data analytics when the goal is to transform raw data into meaningful insights for business or research purposes. The clarity and richness of descriptive metadata can significantly enhance the usability and accessibility of data assets.