Adaptive ontology driven dimensions acquisition, automated schema creation, and enriched data in time series databases

A method, comprising:

• at a device with one or more processors and a memory:
• receiving, via a user-interactive electronic interface, an application programming interface (API) command request to generate contextualized time series data related to one or more assets, the API command request comprising a user identifier indicating an identity of a user associated with the API command request;
• and
• in response to the API command request:
• determining whether telemetry data associated with the one or more assets is enriched with metadata;
• enriching the telemetry data with functional metadata, spatial metadata, asset metadata, and algorithm parameters based on the determination that the telemetry data is not enriched with the metadata, wherein the metadata includes functional metadata, spatial metadata, asset metadata, and algorithm parameters related to contextualization of the telemetry data;
• contextualizing, based on (i) the metadata related to the one or more assets and (ii) a set of data dimensionality filters configured based on respective dimensionality information associated with a format structure for a datastore configured for the user identifier, the enriched telemetry data associated with the one or more assets to generate the contextualized time series data;
• allocating the contextualized time series data within the datastore configured for the user identifier;
• obtaining one or more insights with respect to the contextualized time series data allocated within the datastore associated with the user identifier;
• and
• rendering a visual representation of the one or more insights via the user-interactive electronic interface.

A computer program product comprising at least one computer-readable storage medium having program instructions embodied thereon, the program instructions executable by a processor to cause the processor to:

• receive, via a user-interactive electronic interface, an application programming interface (API) command request to generate contextualized time series data related to one or more assets, the API command request comprising a user identifier indicating an identity of a user associated with the API command request;
• and
• in response to the API command request:
• determine whether telemetry data associated with the one or more assets is enriched with metadata;
• enrich the telemetry data with functional metadata, spatial metadata, asset metadata, and algorithm parameters based on the determination that the telemetry data is not enriched with the metadata, wherein the metadata includes functional metadata, spatial metadata, asset metadata, and algorithm parameters related to contextualization of the telemetry data;
• contextualize, based on (i) the metadata related to the one or more assets and (ii) a set of data dimensionality filters configured based on respective dimensionality information associated with a format structure for a datastore configured for the user identifier, the enriched telemetry data associated with the one or more assets to generate the contextualized time series data;
• allocate the contextualized time series data within the datastore configured for the user identifier;
• obtain one or more insights with respect to the contextualized time series data allocated within the datastore associated with the user identifier;
• and render a visual representation of the one or more insights via the user-interactive electronic interface.