System for developing, generating and managing large-data analysis model business

Abstract

The invention discloses a system for developing, generating and managing large-data analysis model business. The system comprises a user terminal, a server terminal and a cloud calculating and storing platform. The user terminal comprises a user-model designing and generating subsystem and a local model database. The server terminal comprises a tenant managing subsystem, a model auditing and trading subsystem, a model explaining and compiling subsystem, a model executing and dispatching subsystem, a model metadata managing subsystem, a calculated-result showing subsystem, a model trading database, a metadata base and a model API database. According to a frame, an efficient large-data operation-and-maintenance mode with centralized-distributed controllable, manageable and tradable calculating resources, model resources and storage resources is adopted, and six functions such as data-distributed data storing and calculating platform, model designing and generating, model managing and trading, model-quality auditing and verifying, model explaining and executing and tenant managing and accessing controlling are specially covered.

Description

technical field [0001] The invention belongs to the field of big data analysis and development processing, in particular to a big data analysis model business development generation and management system. Background technique [0002] In recent years, with the increasing maturity of large-scale big data-related technologies, the research of big data models has achieved many achievements, and has been applied to all aspects of life, such as e-commerce, stock market finance, social networks, and medical and health fields. [0003] Therefore, while forming a set of big data analysis models, it is also necessary to develop a big data model development and management framework to provide different users with targeted and intelligent development and generation of big data models to meet the individual needs of users It seems extremely necessary. [0004] At present, the construction technology of big data storage and computing centers is relatively mature, and commercial products...

AI Technical Summary

Problems solved by technology

However, big data analysis, especially in terms of industry-oriented and customizable big data analysis models, products are scarce

The main reasons are: (1) The threshold of industry business makes it difficult to design analysis models

Data analysis model designers lack industry business knowledge, making it difficult to design model products that meet the needs; (2) The potential value of data is unclear

Business personnel are not clear about the potential value of data, especially the analysis value, which makes it difficult for business personnel to propose specific data analysis needs; (3) The business differences between industries are obvious, and it is difficult to form a cross-industry data analysis model

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