spark hadoop
时间: 2023-10-06 13:05:00 浏览: 51
Spark is a distributed computing framework that provides fast and efficient data processing. It is designed to work with large datasets and can be used for a variety of tasks, including batch processing, stream processing, machine learning, and graph processing. Hadoop, on the other hand, is an open-source framework that provides distributed storage and processing of large datasets.
Spark can be run on top of Hadoop, using Hadoop's distributed file system (HDFS) for storage and YARN for resource management. This allows Spark to take advantage of Hadoop's distributed architecture and scalability, while also providing faster data processing and real-time processing capabilities.
Overall, Spark and Hadoop are complementary technologies that can be used together to provide a powerful platform for big data processing and analysis.