A dataspace is a logical grouping of data with definitions of how that data should be loaded and processed, usually from a single source.
Each dataspace encapsulates definitions for its core data primitives, such as measurements (numerical data), categories (string-based categorical data), and tags (string-based tags). It also includes configuration for data connector and data processor components to load and process data into those primitives.
While measurements and categories are scoped to the dataspace namespace, tags are aggregated with tags from other dataspaces to the pod scope.
Data connectors and processors are community-maintained components for streaming and processing time-series data. More information can be found in the data-components-contrib repository.