Apache hadoop
- 1. APACHE HADOOP W W W . S C H O O L O F C O R E A I . C O M
- 2. SCAI Hadoop is an open source software programming framework for storing a large amount of data and performing the computation. Its framework is based on Java programming with some native code in C and shell scripts. Hadoop is an open-source software framework that is used for storing and processing large amounts of data in a distributed computing environment. It is designed to handle big data and is based on the MapReduce programming model, which allows for the parallel processing of large datasets. SWEEP --> APACHE HADOOP
- 3. SCAI MAIN COMPONENTS There are Four types of Main Components:- • Hadoop Distributed File System (HDFS) • Mad-Reduce • Yet Another Resource Negotiator (YARN) • Hadoop Common SWIPE-->
- 4. SCAI HDFS • Hadoop Distributed File System is the storage component of Hadoop, which allows for the storage of large amounts of data across multiple machines. It is designed to work with commodity hardware, which makes it cost-effective. SWIPE-->
- 5. SCAI This is the resource management component of Hadoop, which manages the allocation of resources (such as CPU and memory) for processing the data stored in HDFS. YARN SWIPE-->
- 6. SCAI MapReduce is a programming model and processing engine for distributed computing on large datasets. It consists of two main tasks: the Map task, which processes and filters data, and the Reduce task, which aggregates and summarizes the results. MAPREDUCE SWIPE-->
- 7. SCAI HADOOP COMMON • This includes the libraries, utilities, and APIs that support the Hadoop modules. It provides a foundation for other Hadoop-related projects. SWIPE-->
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