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

A business model, big data technology, applied in structured data retrieval, database management system, electronic digital data processing, etc., can solve the problem of wasted learning time and cost, repetitive labor of technicians, and inability to distinguish the correctness of big data business processing logic and other problems to achieve the effect of simplifying the development work

Inactive Publication Date: 2017-12-29
JIANGSU ELECTRIC POWER INFORMATION TECH +1
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  • Abstract
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  • Claims
  • Application Information

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

Method used

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

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Embodiment Construction

[0026] The specific implementation of the HDFS data service model in the hadoop distributed environment in the present invention will be further described below in conjunction with the accompanying drawings.

[0027] Such as figure 1 As shown, a method of building a big data business model based on page drag and drop technology, the method realizes the visual setting of each node parameter in the business model through page drag and drop technology, and establishes the relationship between nodes to form a workflow model. details as follows:

[0028] 1) Establish a big data platform user, that is, the executor of the business model; establish a user based on the hadoop platform, and at the same time set the data output path and storage folder naming rules; Hadoop users, for selection during model creation.

[0029] 2) Configure the data source; including the configuration of hadoop user name and HDFS file path, and test the connectivity of the data source to ensure that the s...

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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...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/13G06F16/182G06F16/25
Inventor 陈咏秋张斌徐明生仇红剑
Owner JIANGSU ELECTRIC POWER INFORMATION TECH
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