A node system for financial analysis and its implementation method

Abstract

The invention provides a node system for financial analysis and an implementation method thereof, and the implementation method comprises the following steps: firstly, classifying nodes in a discretecomputing layer, and executing set operation on every M nodes of the nodes ofwhich the node information conforms to a predetermined data structure; secondly, carrying out mutually discrete data analysis in the discrete set, carrying out discrete storage based on self calculation fields on an analysis result of discrete data analysis by each calculation node, and arranging summation nodes in discrete combination to carry out data aggregation storage; then, splitting the discrete set in a secondary polymerization layer, subjecting each summation node in the discrete set and a single heterogeneous node to secondary aggregation to form secondary aggregation pairs, performing, by eachsecondary aggregation pair, aggregation based on a predetermined data structure on the inner node information in the aggregation pair and sending the aggregation node information to the processor, so that the processor obtains financial analysis data of the heterogeneous nodes after performing secondary aggregation analysis and stores the financial analysis data in an analysis database.

Description

technical field [0001] The invention belongs to the field of new-generation information technology, and in particular relates to a node realization method for a new-generation financial analysis of an information network. Background technique [0002] In the field of distributed computing, the most important application methods include node computing and system computing for data analysis in the financial field. In a multi-node system, each node often has certain local financial data that needs to be analyzed, and the entire multi-node system may have system financial data and a variety of distributed financial analysis basic data due to its distributed nature, which urgently needs to be analyzed. Node and system financial data analysis requirements based on distributed computing or cloud computing. [0003] Cloud computing is to distribute computing on a large number of distributed computers instead of local computers or remote servers, and the operation of enterprise data...

AI Technical Summary

Problems solved by technology

For example, in the current node calculation, each node stores a similar set of data types, and its data structure is similar, and the calculation process is performed in a centralized calculation mechanism of the node or system, and the field granularity of the calculation data is not determined. Discrete and differentiate; secondly, not based on the data type characteristics of financial data, clustering is performed according to the number of commonly used data fields and analysis values, and data is reorganized multiple times through clustering-discrete-re-clustering to suit The number of financial data fields and the professional processing domain capabilities of each node are allocated; again, it is not considered that in the node system, a specific financial node may not conform to the data structure or file structure pre-configured by the system, resulting in the processing capability of the node. In addition to the routine processing of the system, timely relief from the system cannot be obtained; finally, the current universal system level has not been hierarchically improved and adapted according to the special requirements of financial data, and the existing system of distributed systems or cloud computing has not been used. The technical level will bring a lot of extra overhead, and it will not be able to perform appropriate discrete and clustering based on the characteristics of financial data analysis, resulting in a lag in system processing capabilities

Images