Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for analyzing lineage data. One of the methods includes obtaining data access event information; generating a lineage graph from the data access event information; receiving a data lineage request, wherein the data lineage request is a request for lineage data for a specified data set or a specified software process; traversing the lineage graph to identify nodes and edges in the lineage graph that satisfy the data lineage request; and providing data identifying the nodes and edges that satisfy the data lineage request in response to the request.

Abstract: Technology for addressing errors in a data management system. An aspect of the technology involves automatically tracking reassignments of errors from entities initially responsible for correcting the errors to entities newly responsible for correcting the errors, such that each time an assignment of an error is changed from a first entity to a second entity a record is automatically generated to associate the error with the second entity, and generating, based on automated analysis of the tracking of reassignments, an index comprising a plurality of error types and, for each error type, an entity assigned to correct the error type, wherein at least one error type that was assigned to an initially responsible entity is automatically reassigned to a newly responsible entity based on the automated analysis.

Abstract: A system and method for large-scale data schema analysis and quality assurance is disclosed. A data schema may be received and compiled into an internal representation for analysis. The schema's information may also be exposed via an application programming interface. Using the schema's application programming interface along with a provided requirement, the schema may be analyzed and/or corrected for quality, consistency and interoperability.