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Hadoop is a popular framework for processing big data from "summary" of Data Science and Big Data Analytics by EMC Education Services
Hadoop has emerged as a popular framework for processing big data due to its ability to handle large volumes of data in a distributed computing environment. It is known for its scalability and fault tolerance, making it suitable for processing massive datasets across clusters of commodity hardware. The simplicity of Hadoop lies in its distributed file system, known as Hadoop Distributed File System (HDFS), which allows for the storage and processing of data across multiple nodes in a cluster. One of the key components of Hadoop is MapReduce, which is a programming model for processing and generating large datasets. MapReduce simplifies the processing of data by breaking it down into smaller chunks that can be processed in parallel across nodes in the cluster. This parallel processing capability of Hadoop enables faster data pro...Similar Posts
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