Abstract: Systems and methods for event data processing and provisioning using a multi-dimensional database platform including an Apache Kafka framework and an auxiliary database are provided. Methods may include receiving an event profile from a data producer module, tagging the event profile with a timestamp, a unique event identification code, an event type descriptor, a data producer identifier, and a workflow identifier. The method may also include logging, in the Apache Kafka framework, the timestamp and the event identification code, as part of a sequential stream of events; and storing, in the auxiliary database, the event identification code, the event type descriptor, the data producer identifier, and the workflow identifier.

Abstract: Systems and methods for event data processing and provisioning using a multi-dimensional database platform including a first and second database are provided. Methods may include detecting an event and tagging the event with metadata. The method may also include logging the event in the first database along with a timestamp and an event identification code, as part of a sequential stream of events, and storing the event in the second database along with the event identification code and the metadata. The method may include receiving a request from a data consumer module for a customized workflow diagnostic and generating the customized workflow diagnostic based on the request and on data from the first and second databases as linked via the event identification code. The method may also include transmitting the customized workflow diagnostic to the data consumer module.

Abstract: Systems and methods for event data processing and provisioning using a multi-dimensional database platform including an Apache Kafka framework and an auxiliary database are provided. Methods may include receiving an event profile from a data producer module, tagging the event profile with a timestamp, a unique event identification code, an event type descriptor, a data producer identifier, and a workflow identifier. The method may also include logging, in the Apache Kafka framework, the timestamp and the event identification code, as part of a sequential stream of events; and storing, in the auxiliary database, the event identification code, the event type descriptor, the data producer identifier, and the workflow identifier.