Cloud platform data acquisition method

Abstract

The invention provides a cloud platform data acquisition method. The method comprises the steps of integrating multiple query methods in a distributed environment, and providing a unified query interface for a user by taking non-structured query and structured data query as execution units; converting the query requests of the user into formats which can be recognized by the multiple member query methods; and finally returning the query results to the user according to a certain format. The cloud platform financial data query method provided by the invention can be used for overcoming the defects of the conventional structured data query in the aspect of flexibility and practicability, lowering the technical difficulty that non-specialized persons query a database, and can well utilize the value of business data.

Description

technical field [0001] The invention relates to financial data processing, in particular to a cloud platform data acquisition method. Background technique [0002] Financial data is an important basis for investors to make investment decisions and securities companies' investment research departments to conduct research. It has always been a long-term and arduous challenge for relevant departments to provide timely, accurate and easy-to-use financial data for corporate customers and investment research departments . With the advent of rich information on the Internet and the era of big data, financial data currently contains a large amount of structured and unstructured information, and the increment is huge. With the rapid development of cloud computing network technology, in order to avoid the loss of useful data information, it is necessary to establish a corresponding database as a carrier to store these data. However, the status quo of data retrieval in the cloud comp...

AI Technical Summary

Problems solved by technology

However, the status quo of data retrieval in the cloud computing environment is that the specifications of the retrieved data are not uniform, resulting in different understandings of the retrieved content, and the deviation of requirements leads to irregular functional design, which directly affects the vertical connection between the upper and lower applications; the existing query The management and control effect of the method on new requirements and requirements changes is not obvious, and it is difficult to expand the boundaries of query applications in terms of coping with changes in the extension of data structures.

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