Method of constructing big-data service model based on page dragging technology

Abstract

The invention discloses a method of constructing a big-data service model based on page dragging technology. The method realizes visualization setting of each node parameter in the service model through the page dragging technology, establishes relationships between nodes, forms the workflow model, and specifically includes the following steps: establishing a big-data platform user, namely an executor of the service model; configuring data sources; establishing the model, wherein the complete service model is constructed through dragging each service component; carrying out trial running of the model; releasing the model, wherein a model state is callable; carrying out model scheduling setting for periodically executing the service model; and running the model, wherein running operation of the model is executed according to time points of scheduling setting. According to the method, big-data services can be converted into visualization workflows of the component nodes for setting, development work of big-data developers can be simplified, and service personnel and data analysts can be enabled to participate in automation configuring of the workflows of the big-data services.

Description

technical field [0001] The invention belongs to the field of computer software information technology, and in particular relates to a method for constructing a big data business model based on page dragging technology. Background technique [0002] With the rapid development of big data technology, major companies and enterprises, especially Internet companies, are collecting data, storing data, processing data, sharing data, retrieving data, analyzing data, displaying data and mining the business behind the data from various angles. Value, and by building a one-stop big data analysis platform, resolve the problem of big data analysis of the whole business chain. With the refinement of business applications, reducing the difficulty of data analysis has become a key research direction for major companies. With the maturity of the big data platform, various business departments are also paying more and more attention to the research and application of big data topics. [000...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the waste of learning time and cost due to the fact that software development requires specialized technicians to learn a large amount of relevant knowledge in the prior art, for tasks that need to be performed repeatedly or regularly, if they are not packaged and executed, a large number of mechanical repetitions will be caused by technicians Labor, business personnel and data analysts cannot intuitively see the background data processing process, and cannot distinguish the correctness of big data business processing logic

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