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A visual management method for big data in gis software
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A management method and data management technology, applied in the direction of electrical digital data processing, special data processing applications, relational databases, etc., can solve problems such as poor display effect and low analysis efficiency, and achieve visual management, easy operation, convenient and intuitive The effect of operation and management
Active Publication Date: 2020-06-30
BEIJING SUPERMAP SOFTWARE CO LTD
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[0007] The main purpose of the present invention is to provide a visual management method for big data in GIS software to solve the problems of low analysis efficiency and poor display effect faced by GIS software in the prior art when processing spatiotemporal big data
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no. 1 example
[0023] Such as figure 1 and figure 2 As shown, a visual management method for big data in GIS software, as shown in the figure, the method includes the following steps S01 to S03.
[0024] Step S01: Build an HDFS distributed data source, and the data format stored on the server side is a CSV file.
[0025] Step S02: According to the data storage method, input known parameters to open the corresponding data source, access and read the big data stored on the server side.
[0026] The data is stored in the Oracle database. When opening it in the SuperMap GIS software, you need to enter parameters such as the server address (the address of the server where the data is stored), instance name, alias (the name displayed in the GIS software), user name, password, etc., and open HDFS data source;
[0027] Step S03: Realize visual data management operations on the read big data, including setting fields, creating indexes, data addition, data import and data export; the data format s...
no. 2 example
[0033] Such as figure 1 and figure 2 As shown, a visual management method for big data in GIS software, as shown in the figure, the method includes the following steps S01 to S03.
[0034] Step S01: Build a MongoDB distributed data source, and the data format stored on the server side is a CSV file.
[0035] Step S02: According to the data storage method, input known parameters to open the corresponding data source, access and read the big data stored on the server side.
[0036]The data is stored in the Oracle database. When opening it in the SuperMap GIS software, you need to enter parameters such as the server address (the address of the server where the data is stored), instance name, alias (the name displayed in the GIS software), user name, password, etc., and open MongoDB data source;
[0037] Step S03: Realize visual data management operations on the read big data, including setting fields, creating indexes, data addition, data import and data export; the data form...
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Abstract
The invention discloses a big data visual management method for GIS software. The method comprises the following steps: 1) constructing distributed data sources applicable for different data storage modes; 2) according to each data storage mode, inputting known parameters to open the corresponding data source, and accessing and reading big data stored in a server; 3) achieving visual data management operations for the read big data; and 4) uploading the processed data to the server for data warehousing or sharing with others. The method provided by the invention has the advantages that data clusters can be conveniently and visually operated and managed through the interactive operations, so that data analysis effects can be directly displayed, and better data understanding of common users, deeper analysis of data analysis experts and decision-making of managers can be facilitated.
Description
technical field [0001] The present invention relates to the field of computer technology and geographic information system, in particular to a visual management method for big data in GIS software. Background technique [0002] With the advent of the cloud era, Big Data has attracted more and more attention. However, the value content and mining cost of big data and its technologies are more important than the quantity. For many industries, how to use these large-scale data is the key. The storage and processing of big data is particularly important. Big data processing will be value-oriented and can process, mine and optimize big data. [0003] Big data is a collection of data that is so large that it exceeds the capabilities of traditional database software tools in terms of acquisition, storage, management, and analysis. It has large data scale, fast data flow, diverse data types, and low value density. Four characteristics. The core of big data technology lies in th...
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