It describes the flow of data from the source systems to the decision makers and the transformations and data stores that data goes through along the way. It also specifies the tools, techniques, utilities, and platforms needed to make that flow happen.
Technical metadata defines the objects and processes that make up the DW/BI system from a technical perspective. This includes the system metadata that defines the data structures themselves, like tables, fields, data types, indexes, and partitions in the relational engine, and databases, dimensions, measures, and data mining models. In the ETL process, technical metadata defines the sources and targets for a particular task, the transformations (including business rules and data quality screens), and their frequency.