Fundamental understanding of structured, semi-structured, and unstructured data types and their characteristics.
Learners will distinguish between data types, understand data schemas, and identify appropriate use cases for each data format.
Structured data follows predefined schemas with fixed relationships and data types, stored in relational databases.
Semi-structured data combines structured elements with flexible organization, using markup or key-value pairs.
Unstructured data lacks fixed structure, including text files, images, videos, and documents requiring specialized processing.
Data quality ensures accuracy, completeness, and consistency while metadata provides context and lineage information.