A data view copy iteration method in web visualization environment

Abstract

A data view copy iteration method in a Web visualization environment, comprising the following steps: the first step, establishing a dynamic evolution model, which is divided into a big data user layer, a big data visualization layer and a big data source layer; the second step, based on the Based on the model described above, an iterative method for data-view replicas in a Web visualization environment is proposed. The present invention proposes a data view copy iteration method in a Web visualization environment, which materializes and caches the visualization results, and improves the update efficiency of the data view through the copy iteration method, avoids the impact of frequent updates on query performance, and reduces the data view cost. Retrieval overhead; this method can quickly query and visualize massive data in a web environment with a large query set and frequent data source updates; and when updating the cache, it ensures that existing users who are accessing the data view will not be affected.

Description

technical field [0001] The invention relates to the field of data visualization, in particular to a data view copy iteration method in a Web visualization environment. Background technique [0002] With the rapid development of information technology such as the Internet, the Internet of Things, and cloud computing, information technology and all aspects of human politics, economy, military, scientific research, and life are constantly intersecting and merging, giving birth to a huge amount of data beyond any previous era. Therefore, the information society We have entered the era of Big Data. All kinds of smart mobile devices, sensors, e-commerce websites, and social networks all over the world are generating different types of data every moment. According to the "Data Universe" report of the International Data Corporation (IDC), the global data volume was 0.5ZB in 2008 and 1.2ZB in 2010, and mankind has officially entered the ZB era. What is even more astonishing is that...

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Problems solved by technology

[0009] In order to overcome the problem of insufficient timeliness of data views in existing big data visualization methods, the present invention proposes a data view copy iteration method in a Web visualization environment, materializes and caches the visualization results, and improves the data view through the copy iteration method. The update efficiency of views avoids the impact of frequent updates on query performance and reduces the retrieval overhead of data views; this method can quickly query and visualize massive data in a web environment with large query sets and frequent data source updates ; and ensure that existing users who are accessing the data view are not affected when updating the cache

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