Design and implementation of big data processing system based on Hadoop

With the increasing application of big data, efficient big data processing systems can improve the utilization of big data and create greater value. Cloud computing technology is a product of massive data, and this article proposes a big data processing system developed based on the Hadoop cloud computing platform. The system adopts technologies such as distributed file system HDFS, distributed parallel database MapReduce, and distributed computing framework Spark. This system can process massive amounts of data without the need for programming, greatly improving data processing efficiency and having broad application prospects. This article analyzes the design and implementation methods of a big data processing system based on Hadoop, and conducts performance tests on it. The test results show that the system has high performance and meets basic big data processing requirements.