ABSTRACT
Database management tools can query and replace large data and perform complex statistics. The cost of developing and maintaining databases for applications and specific services is high. In response to the new requirements brought about by changes in general business requirements, data export is generally processed by table processing tools. When dealing with the complex statistics of big data tables, table processing tools will face problems such as manual processing errors and long processing time. This paper takes the business processing of a big data table as an example, and discusses the solutions for batch name renaming and complex statistics of multi-dimensional projects. A solution was proposed to solve the problem of automation and execution efficiency, and the purpose of manual processing automation and execution efficiency improvement was achieved.
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