Apache Hadoop is an open-source framework that enables the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
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About Apache Hadoop
Apache Hadoop was created in 2006 to address the need for processing large volumes of data efficiently. It originated from work done by Doug Cutting and Mike Cafarella, who were inspired by Google's MapReduce and Google File System papers. The project aimed to develop an open-source implementation that could handle massive data sets across distributed computing environments.
Strengths of Apache Hadoop include scalability, fault tolerance, and cost-effectiveness in handling large data sets. Weaknesses involve complexity in setup and management, as well as slower performance for real-time data processing. Competitors include Apache Spark, Google BigQuery, and Amazon Redshift.
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