Big data technology-based space data storage processing middleware framework

A big data technology and spatial data technology, applied in the field of spatial data storage and processing middleware framework, can solve the problems of spending too much time and money, reduce I/O overhead, improve distributed storage efficiency, and save storage space Effect

Active Publication Date: 2017-05-03
武汉中地数码科技有限公司 +1
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AI Technical Summary

Problems solved by technology

Big data (Bigdata) is generally used to describe the large amount of unstructured and semi-structured data

Method used

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  • Big data technology-based space data storage processing middleware framework
  • Big data technology-based space data storage processing middleware framework
  • Big data technology-based space data storage processing middleware framework

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Embodiment Construction

[0054] specific implementation plan

[0055] Attached below Figure 1-Figure 6 The present invention will be further described with reference to specific examples, so that those skilled in the art can better understand the present invention and implement it, but the given examples are not intended to limit the present invention.

[0056] The present invention provides a method for storing and processing spatial data based on big data technology, comprising the following steps:

[0057] Step A) For the multi-source heterogeneous spatial data and system data with a large amount of data, use the ETL tool data extraction conversion tool to extract these data and convert them into data in a common format;

[0058] Step B) Store these data virtualized in the spatial big data distributed storage framework for unified management.

[0059] Furthermore, multi-source heterogeneous data sources include local file systems, relational databases, data import and export between spatial data...

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Abstract

The invention relates to a big data technology-based space data storage processing middleware framework. The framework can provide a method for rapidly obtaining data content from mixed data of existing multi-source heterogeneous structural data and non-structural data; and distributed storage efficiency is improved by adopting a mainstream big data access tool. The big data technology-based space data storage processing middleware framework disclosed by the invention performs extraction, conversion and loading on the multi-source heterogeneous space data to establish a diversified, fragmented and non-structural data distributed virtualized storage framework, so that directly readable data content is provided for subsequent space big data analysis and mining.

Description

technical field [0001] The present invention relates to a middleware framework for spatial data storage and processing based on big data technology, which can provide users with a method of quickly acquiring data content mixed with existing multi-source heterogeneous structured data and unstructured data method, and use mainstream big data access tools to improve distributed storage efficiency. Background technique [0002] Spatial data refers to the data used to represent the position, shape, size and distribution characteristics of spatial entities. It can be used to describe objects from the real world. It has characteristics such as positioning, qualitative, temporal and spatial relationships. Spatial data is a kind of data that uses basic spatial data structures such as points, lines, surfaces, and entities to represent the natural world on which people live. [0003] Big data refers to the collection of data captured, managed and processed by conventional software too...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/182G06F16/2228G06F16/254G06F16/284
Inventor 吴信才吴亮万波谢忠左泽均陈占龙周林
Owner 武汉中地数码科技有限公司
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