This invention relates to the field of multi-
source data processing technology, specifically disclosing a
data governance method and
system for multi-source heterogeneous data fusion. The method includes receiving
unstructured data fed back by a
data acquisition agent, performing virtual mapping on the
unstructured data, recursively adjusting the access parameters corresponding to the
data source node, and generating
simulation data based on the virtual mapping when a
data source node experiences a data upload anomaly. It also includes receiving data increment density and data hotspot distribution fed back by the
data acquisition agent, planning the scheduling path of the
unstructured data parsing end based on the data hotspot distribution, and receiving the
parsing results fed back by the
parsing end. This invention acquires unstructured data by deploying edge nodes, identifies the unstructured data, constructs a
data domain model, synchronously determines the data state of the unstructured data, marks hotspot areas in the
data domain model, and then determines the parsing order, enabling important data to be parsed faster.