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Big data display and agile development deployment method

A big data and data technology, applied in the field of big data display and agile development and deployment, can solve the problems of inaccurate and standardized data, waste of resources, and wrong decision-making

Active Publication Date: 2021-01-19
武汉凡松科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the advancement of electronic information science, software and hardware technologies are undergoing earth-shaking changes, and data technology and applications are also deepening, from the earliest data applications and data storage to the current data analysis, data management, data statistics, and data integration. , data mining, etc., but the data is not accurate and standardized, such data will cause resource waste, decision-making mistakes and other losses, so many big data analysis applications have failed due to low data quality
Big data R&D has high technical requirements for developers, and R&D personnel are scarce. The speed of developing a practical product is slow, the display effect is not ideal, the R&D cost is high, and the risk is uncontrollable.

Method used

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Embodiment Construction

[0037] The present invention will be further described below in conjunction with embodiment.

[0038] The present invention provides a big data display and agile development and deployment method, including the following steps:

[0039] (1) Use a unified API interface to obtain data from intranet data sources and public network data sources.

[0040] Any big data framework depends on all its own data sources, and general data sources are classified into:

[0041] 1. Your own business data (mainly the data of each business line, such as users, orders, etc.), is mainly stored in a relational database, such as Mysql, etc.;

[0042] 2. Buried logs (involving basic user behavior data such as users' access, sharing, and browsing of APPs or small programs), this data is mainly stored on HIVE;

[0043] 3. Third-party data, such as: obtained third-party competing product data, various API acquisitions, TD placement, crawlers and other third-party data. Data sources include Excel, CS...

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Abstract

The invention provides a big data display and agile development deployment method. The big data display and agile development deployment method comprises the following steps: acquiring data, processing the data by utilizing a big data bus, customizing a template newly-built project, achieving data display by an extension component, and achieving display equipment adaptation and one-key deploymentprocess by a picture scaling module. According to the big data display and agile development and deployment method provided by the invention, based on the development of an existing big data platformand middleware, existing data or externally accessed data can be stored and aggregated, and the existing data can be analyzed to obtain some data indexes for business support; and the front-end display is convenient and easy to use, so that technicians can conveniently and quickly realize the desired effect.

Description

technical field [0001] The invention relates to a big data display and agile development and deployment method, belonging to the field of big data research and development. Background technique [0002] With the advancement of electronic information science, software and hardware technologies are undergoing earth-shaking changes, and data technology and applications are also deepening, from the earliest data applications and data storage to the current data analysis, data management, data statistics, and data integration. , data mining, etc., but the data is not accurate and standardized, such data will cause waste of resources, wrong decision-making and other losses, so many big data analysis applications have failed due to low data quality. Big data R&D has high technical requirements for developers, and R&D personnel are scarce. The speed of developing a practical product is slow, the display effect is not ideal, the R&D cost is high, and the risk is uncontrollable. Con...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/215G06F16/26G06F8/20G06F8/36
CPCG06F8/20G06F8/36G06F16/215G06F16/26
Inventor 裴芳白文娟
Owner 武汉凡松科技有限公司
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