Data processing platform and data processing method
A data processing and data processing unit technology, applied in the computer field, can solve problems such as scattered storage of original data, differences in user information, and difficulties in data integration and sorting, so as to achieve efficient reading and improve the effect of utilization
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Embodiment 1
[0016] refer to figure 1 , shows a structural block diagram of a data processing platform according to Embodiment 1 of the present invention.
[0017] The data processing platform of this embodiment includes: a data reading agent 102 , a data processing unit 104 and a data reasoning agent 106 .
[0018] Wherein, the data reading agent 102 is used to read business data corresponding to multiple users from multiple business logics docked with the data processing platform, wherein the business data carries time information; the data processing unit 104 uses According to the time information, the business data corresponding to each user is synchronized; the data reasoning agent 106 is used to use the set first predicate rule to obtain the synchronized business data of each user, and use the set first predicate rule. A predicate rule performs data fusion on the acquired business data.
[0019] The data processing platform of this embodiment can be set on one server, or can be set...
Embodiment 2
[0032] refer to figure 2 , shows a schematic structural diagram of a data processing platform according to Embodiment 2 of the present invention.
[0033] This embodiment describes the data processing platform provided by the present invention in the form of a specific example. The data processing platform of this embodiment adopts a distributed configuration and is deployed in two servers respectively. The two servers work together to realize the data processing platform function.
[0034] like figure 2 As shown, the data processing platform of this embodiment is distributed in server 1 and server 2. Wherein, N (N is a natural number greater than or equal to 2) data reading agents 202 and data processing units 204 are deployed on the server 1. In this embodiment, the data processing unit 204 includes a data terminal 2042 and a data warehouse 2044; M (M is a natural number greater than or equal to 2) data reasoning agents 206 are deployed.
[0035] Moreover, in this embo...
example 1
[0049] Using natural language to explain the business rules is as follows:
[0050] Sub-rule 1: key identification and student information and student identification --> student name
[0051] Sub-rule 2: key identifier and course identifier --> course name
[0052] Sub-rule 3: key identification, student name and course name --> student registration course
[0053] Converted to a predicate rule as:
[0054] {
[0055] Subrule 1:
[0056] Subrule 2:
[0057] Subrule 3:
[0058] by For example, where x is an arbitrary student, which is the object of research, called an individual, and match and name are predicates for the attribute or behavior of the individual under study. Any quantifier in represents that if a student is satisfied, he can get the student's name.
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