A multi-paradigm fusion analysis and processing method for big data

An analysis processing and multi-paradigm technology, applied in the Internet field, can solve problems such as failure to meet big data analysis tasks, scalability and adaptability obstacles, etc., achieve good industrialization prospects and accelerate the pace of industrialization

Active Publication Date: 2020-06-23
国网电商科技有限公司
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Although the traditional relational data management technology has experienced the development of parallelization, in some special application scenarios, it still cannot meet the analysis tasks of big data, and encounters huge obstacles in scalability and adaptability
The contradiction that big data analysis methods and technologies need to solve is: how to process and analyze as much data as possible in the shortest possible time to discover and acquire as much new knowledge as possible

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A multi-paradigm fusion analysis and processing method for big data
  • A multi-paradigm fusion analysis and processing method for big data
  • A multi-paradigm fusion analysis and processing method for big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0019] The present invention is a big data-oriented multi-paradigm fusion analysis processing framework, and is a general technology in multiple fields. For the detailed business process, please refer to figure 1 :

[0020] 1. Data preprocessing stage: This stage is independent of the following business process stages. It is the process in which the user cleans up the required data through user-defined rules and stores it in the relational database. The user needs to record the location of the relational database, user Name, password and other basic information used to connect to the database;

[0021] 2. Configuration file stage: namely figure 1 In "Configuration File", the configuration file is divided into relational database configuration fil...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a multi-pattern fusion analysis and processing method for large data. The method comprises the following steps: a data preprocessing stage; a configuration file stage; a data query analysis stage; and a user feedback phase. The multi-pattern fusion analysis and processing method for large data based on GBase database can effectively meet the needs of large data analysis market.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a big data-oriented multi-paradigm fusion analysis and processing method. Background technique [0002] Since the popularization of World Wide Web applications in the 1990s, the amount of data generated and collected by human society has grown at an alarming rate every year. Judging from the current development trend of World Wide Web applications, the data growth rate continues unabated, far exceeding the growth rate of Moore's Law. IDC's survey shows that since 2013, the amount of data generated globally has been growing at a rate of 40% per year, and by 2020, the amount of global data will increase by 10 times, that is, 44. Undoubtedly, this marks that mankind has already entered the "big data era". The characteristics of big data can be summarized as: large capacity (Volume), high velocity (Velocity), diversification (Variety) and overall value (Value), that is, "4 V"....

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/215G06F16/2455G06F16/28G06N20/00
CPCG06F16/215G06F16/2455G06F16/284G06N20/00
Inventor 张小旺冯志勇张嘉慧
Owner 国网电商科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products