Content distribution and optimization system and method for deriving new metrics and multiple use cases of data consumers using base event metrics

A content distribution and optimization method, comprising:

• ingesting, by one or more processors, raw event data from a client computing device at an entry point of a data pipeline service in accordance with a defined schema, wherein:
• (i) the raw event data corresponds to a base event comprising a plurality of contextual payloads and a plurality of base event metrics,
• (ii) a contextual payload of the plurality of contextual payloads comprises a first set of dimensional properties provided by the client computing device or a second set of dimensional properties added at the entry point, and
• (iii) the first set of dimensional properties and the second set of dimensional properties correspond to one or more logically grouped attributes and one or more data values corresponding to the one or more logically grouped attributes;
• providing the raw event data to a message bus pipeline for enrichment, wherein:
• (i) one or more transformations are applied on enriched raw event data comprising the plurality of base event metrics to derive, at a same time instant, a distinct use case for each data consuming tool or service of a plurality of data consuming tools or services, wherein each use case is in a respective format configured for direct access by each respective data consuming tool or service of the plurality data consuming tools or services, wherein multiple distinct use cases are associated with a same base event and the one or more transformations comprises one or more of a depersonalization, a marketing transformation, a customer service transformation, a device information transformation, or a performance transformation, and a transformation of the one or more transformations for a respective use case is based on one or more contextual aspects of a respective data consuming tool or service for the respective use case, and
• (ii) the distinct use cases correspond to one or more contextual payloads of the plurality of contextual payloads;
• and
• providing one or more contextual payloads from the plurality of contextual payloads to a stream-based messaging bus as raw video events, wherein one or more new metrics are derived based on the raw video events for network selection and centralized alarming and reporting.

A non-transitory computer readable medium, having stored thereon, computer executable code, which when executed by one or more processors, cause the one or more processors to execute operations, the operations comprising:

• ingesting raw event data from a client computing device at an entry point of a data pipeline service in accordance with a defined schema, wherein:
• (i) the raw event data corresponds to a base event comprising a plurality of contextual payloads and a plurality of base event metrics,
• (ii) a contextual payload of the plurality of contextual payloads comprises a first set of dimensional properties provided by the client computing device or a second set of dimensional properties added at the entry point, and
• (iii) the first set of dimensional properties and the second set of dimensional properties correspond to one or more logically grouped attributes and one or more data values corresponding to the one or more logically grouped attributes;
• providing the raw event data to a message bus pipeline for enrichment, wherein:
• (i) one or more transformations are applied on enriched raw event data comprising the plurality of base event metrics to derive, at a same time instant, a distinct use case for each data consuming tool or service of a plurality of data consuming tools or services, which each use case is in a respective format configured for direct access by each respective data consuming tool or service of the plurality of data consuming tools or services, wherein multiple distinct use cases are associated with a same base event and the one or more transformations comprises one or more of a depersonalization, a marketing transformation, a customer service transformation, a device information transformation, or a performance transformation, and a transformation of the one or more transformations for a respective use case is based on one or more contextual aspects of a respective data consuming tool or service for the respective use case, and
• (ii) the distinct use cases correspond to one or more contextual payloads of the plurality of contextual payloads;
• and
• providing one or more contextual payloads from the plurality of contextual payloads to a stream-based messaging bus as raw video events, wherein one or more new metrics are derived based on the raw video events for network selection and centralized alarming and reporting.