Hadoop was designed to handle petabytes and extabytes of data distributed over multiple nodes in parallel.

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Hadoop was specifically designed to handle big data distributed across a large number of servers in a distributed computing environment. It uses the Hadoop Distributed File System (HDFS) to break down large files into smaller blocks and distribute them across multiple nodes in a cluster. With its ability to handle petabytes and exabytes of data, Hadoop has become the go-to technology for big data processing, storage, and analysis.

Hadoop Was Designed to Handle Petabytes and Extabytes of Data