Hadoop MapReduce
时间: 2024-01-04 09:57:03 浏览: 25
Hadoop MapReduce is a programming model and software framework for processing large amounts of data in a distributed and parallel manner. It is a key component of the Apache Hadoop ecosystem, which is a popular open-source platform for distributed computing and big data processing.
The MapReduce programming model involves two main phases: the map phase and the reduce phase. In the map phase, input data is divided into smaller chunks and processed in parallel by multiple nodes in a Hadoop cluster. Each node applies a map function to the input data and produces an intermediate key-value pair. In the reduce phase, the intermediate key-value pairs are sorted and combined by another set of nodes to produce the final output.
The Hadoop MapReduce framework provides a set of APIs and tools for developers to write MapReduce jobs in a variety of programming languages, including Java, Python, and Ruby. It also includes a distributed file system called HDFS, which allows data to be stored and retrieved across the cluster.
Hadoop MapReduce is widely used in industries such as finance, healthcare, retail, and social media to process large datasets and perform complex analytics tasks. It is also used in scientific research, government agencies, and non-profit organizations for data processing and analysis.