大数据分析流程配置优化问题

Big Data Analysis Process Configuration Optimization Problem

随着大数据在多个领域广泛应用,线下对大量数据的处理和分析成为一个非常重要的环节。本文针对大数据对分析业务开发周期较长、工作成本高、代码开发重复性等问题,从数据集、参数配置、可视化等方面提出了一种大数据通用流程配置与分析方法。实验证明该方法可以简化大数据分析开发的流程、降低开发成本,提升大数据分析效率。

With the application of big data in various fields,offline processing and analysis of large amount of data has become a very important task.This article proposes a big data general process configuration and analysis method from the aspects of data set,parameter configuration,visualization,etc.,in view of the issues such as long development cycle of big data analysis business,high work cost,and code development repeatability.Experiments show that this method can simplify the process of big data analysis and development,reduce development costs,and improve the efficiency of big data analysis.