The invention relates to the technical field of
information engineering, and provides a data maintenance method based on
big data, comprising the following steps: step 1, uploading multiple data maintenance records, analyzing multiple maintenance data, extracting data maintenance events, and classifying the events into common events and rare events; 2, generating a high-incidence event
big data model by using the data of the common events, and generating a rare event
big data model by using the rare events; and 3, preferentially detecting the data in the
database in batches by using the high-incidence event big
data model, and improving a secondary
detection threshold value according to problems carried by each batch of detected data. According to the method, the security and the integrity of the data are firstly measured by means of the high-incidence event big
data model, the preliminary condition of the data is judged, and the detection frequency of rare events is determined, so that the security and the integrity of the
database data are rapidly measured, tedious and time-
wasting comprehensive detection is avoided, the maintenance time is shortened, and the maintenance efficiency is improved.