7 terms
Data lineage traces where data comes from, how it is transformed and where it flows, so teams can trust, debug and govern their datasets.
Data quality is the degree to which data is accurate, complete, consistent, timely and valid enough to serve its intended use reliably.
A dataset is a defined, bounded collection of related data records with a shared structure and meaning, prepared for analysis, processing or exchange.
Metadata is data that describes other data, such as its content, structure, origin, format and rules of use, so it can be found, understood and managed.
Semi-structured data carries its own structure through tags or keys, as in JSON and XML, without requiring a fixed schema defined in advance.
Structured data is data organized under a predefined schema of fields and types, such as database tables, so it can be queried, validated and joined.
Unstructured data is information without a predefined schema, such as text, images, audio and video, that must be interpreted before it can be analyzed.