The basic concepts that are most useful to understand while working with Data Lens are the following:
- Authentication: A combination of application credentials and access tokens needed to use Data Lens resources, including making requests to the Data Lens REST API. See Access Credentials.
- Dataset: The data stored in the Data Lens cloud, identified by a unique dataset ID. See Datasets.
- Query: The JSON object, defined with the Data Lens REST API query language, that defines how the data in the dataset is fetched, aggregated, transformed and served. Each query is identified by a unique query ID. See Querying your Datasets.
- Dynamic parameters: URL parameters that map to variables in the namespace of the query. See Dynamic Parameters.
- Heat map: A color-coded distribution of data on a geographical map. See Heat Maps.
- Raster map: A color-coded map of data aggregated into a regular grid of squares ("raster cells") of constant geographical size. See Raster Maps.
- Clustering: The technique of grouping objects according to an arbitrary distance between the objects and a cluster center. See Markers for further details.
- Tiling: The process of separately serving data in multiple chunks, arranged by map tile, instead of in a single, large data request. See Data Filtering.
- Pixel space: The two-dimensional grid of screen pixels.
- Map tile: A square in pixel space (typically 256x256 pixels).