Distributed extracting and visualized analysis method and system based on economic field data

An analysis method and distributed technology, applied in the field of data processing, can solve problems such as high difficulty in user operation, low efficiency of big data, and insufficient intuitive data analysis, and achieve the effects of reducing operation difficulty, accelerating parallel processing speed, and enhancing friendliness

Inactive Publication Date: 2018-03-06
北京国信宏数科技有限责任公司
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Problems solved by technology

[0012] This application provides a distributed extraction and visual analysis method and system based on data in the economic field, which is used to s

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  • Distributed extracting and visualized analysis method and system based on economic field data
  • Distributed extracting and visualized analysis method and system based on economic field data
  • Distributed extracting and visualized analysis method and system based on economic field data

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Embodiment Construction

[0048] In order to make the above objects, features and advantages of the present application more obvious and comprehensible, the present application will be further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0049] In the description of the present application, it should be understood that the terms "first" and "second" are used for description purposes only, and cannot be interpreted as indicating or implying relative importance or implicitly indicating the quantity of indicated technical features. Thus, a feature defined as "first" and "second" may explicitly or implicitly include one or more of these features. "Plurality" means two or more, unless otherwise clearly and specifically defined. The terms "including", "comprising" and similar terms should be understood as open-ended terms, ie "including / comprising but not limited to". The term "based on" is "based at least in part on". The term "an embodimen...

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Abstract

The invention provides a distributed extracting and visualized analysis method and system based on economic field data. The distributed extracting and visualized analysis method based on the economicfield data comprises the steps of extracting distributed data, wherein a rear-end server receives an instruction for a user to extract big data and sends the instruction to a main node, and the main node divides a big task of the extracted data into small tasks according to the dimensionalities of one or more fields of the task according to the received instruction, and distributes the small tasksto different processing nodes, the processing nodes start a request to a full-text search system according to the distributed small tasks, and the main node stores the generated small tasks into a database, and synchronizes the state of the tasks in the running process; conducting distributed storage; conducting distributed calculation and analysis; conducting data loading and buffering; conducting result visualization displaying. Through the means, the efficiency of extracting the big data is improved, and meanwhile, the difficulty of analyzing the big data by the user is lowered.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular, to a distributed extraction and visual analysis method and system based on data in the economic field. Background technique [0002] In today's era of rapid data expansion, big data has become a hot term. There is no lack of quantity in the era of big data. The important thing is that we need to use quantity to discover the overall law, so as to analyze big data. [0003] The use of big data will become a key factor in improving core competitiveness. Decision-making in all walks of life is changing from "business-driven" to "data-driven". The analysis of big data can enable retailers to grasp market dynamics in real time and respond quickly; it can provide decision support for merchants to formulate more accurate and effective marketing strategies; it can help companies provide consumers with more timely and personalized services; In the field of public affairs...

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Application Information

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IPC IPC(8): G06F17/30G06F9/48G06F9/50
CPCG06F9/4843G06F9/5072G06F2209/484G06F16/2471G06F16/248G06F16/334
Inventor 刘银林杨阳刘建华丁文豪
Owner 北京国信宏数科技有限责任公司
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