Software Design Patterns and Application Practices for Big Data
In the era of big data,massive,diverse,fast,and highly authentic data challenges traditional data processing methods,giving rise to the development of distributed storage and computing technology.This article explores the application of frameworks such as Hadoop and Spark in big data processing,and introduces the specific implementation of software design patterns such as distributed systems,data-driven design,and modular design.These patterns have improved data processing efficiency and system scalability in the practice of handling large-scale log data,providing strong support for product optimization and operational decisions of enterprises.
big datasoftware design patternsdistributed systemdata driven
万方数据
维普
