Abstract: Methods, computer readable media, and apparatuses are provided herein for enhancement of document metadata processing and marking capability across cloud platforms. A data streaming pipeline may be configured between a cloud document storage platform and a cloud platform. A metadata processing server may detect a document manipulation event associated with a document stored in the cloud document storage platform. The metadata processing server may determine a triggering rule associated with the document corresponding to the document manipulation event, and cause a resultant document action in the cloud document storage platform.

Abstract: Methods, computer readable media, and apparatuses are provided herein for enhancement of document metadata processing and marking capability across cloud platforms. A data streaming pipeline may be configured between a cloud document storage platform and a cloud platform. A metadata processing server may detect a document manipulation event associated with a document stored in the cloud document storage platform. The metadata processing server may determine a triggering rule associated with the document corresponding to the document manipulation event, and cause a resultant document action in the cloud document storage platform.

Abstract: Methods, computer readable media, and apparatuses are provided herein for preserving custom metadata associated with an object (e.g., document) stored on a cloud data storage platform. An illustrative method may comprise receiving audit logs generated by the cloud data storage platform, and determining that the audit logs indicate a document exit event occurred from the cloud data storage platform. Further, the method may comprise storing in a cache memory, a document identifier associated with the document exit event, obtaining, based on the audit logs, custom metadata related to a document associated with the document exit event, and storing the custom metadata in association with the document identifier.