Abstract: Techniques for data correlation across data sources are presented herein. In some examples, a method includes the steps of retrieving a first datagram from a first data structure, wherein the first datagram represents a first update to a first data source; determining, by a first routine, a first correlation between the first datagram and a second datagram that is stored in a second data structure; based on determining the first correlation, updating the second datagram in accordance with first datagram; determining, by a second routine, whether the second datagram satisfies a completion condition; and based on determining that the second datagram satisfies the completion condition, storing the second datagram in the first data structure.

Abstract: Techniques for data correlation across data sources are presented herein. In some examples, a method includes the steps of retrieving a first datagram from a first data structure, wherein the first datagram represents a first update to a first data source; determining, by a first routine, a first correlation between the first datagram and a second datagram that is stored in a second data structure; based on determining the first correlation, updating the second datagram in accordance with first datagram; determining, by a second routine, whether the second datagram satisfies a completion condition; and based on determining that the second datagram satisfies the completion condition, storing the second datagram in the first data structure.

Abstract: Techniques for performing sequential data enrichment are presented herein. In some examples, a data enrichment system includes an input pipeline and a set of enrichment routines. In some examples, a datagram is retrieved from the input pipeline and an enrichment type associated with the retrieved datagram is determined. In some examples, after determining the enrichment type that is associated with the retrieved datagram, the datagram is processed by the enrichment routine that corresponds to the enrichment type to determine an enriched datagram. In some examples, the enriched datagram is stored in the input pipeline, which can enable determining a new enrichment type associated with the enriched datagram or storing the enriched datagram in an output pipeline if it is determined that the enriched datagram is not associated with any enrichment types.