The invention relates to a method for supporting structured and unstructured
big data fusion. The method includes the steps: creating a multi-element
big data fusion model supporting BLOB (
binary large object) attribute values based on an attribute
graph data model; generating N-element group data from received data by the multi-element
big data fusion model supporting the BLOB attribute values; judging that the generated N-element group data are of a BLOB type and storing the BLOB
type attribute values at a first preset position; fusing structured and unstructured big data at the first presetposition by controlling mapping between a
handle and the
data content of the corresponding BLOB
type attribute value. The method provides a
management model STRUNS for supporting structured and unstructured multi-element data fusion and an implementation
system for the STRUNS. The method can be used for integrated management and uniform query of multi-element heterogeneous data including a text type, a Boolean type, a numeric type, a time type and the BLOB type, and a theoretical model and a practical
system are provided for big data fusion management. The invention further relates to a device for supporting structured and unstructured big data fusion.