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**Hadoop** entered the scene first, and it's like the wise old veteran in this data game. Hadoop is a fantastic **open-source framework**, and it's built to handle *massive* datasets across clusters of computers. Think of it as a distributed file system and a processing engine rolled into one. At its core, Hadoop relies on two main components: the **Hadoop Distributed File System (HDFS)** and **MapReduce**. HDFS is responsible for storing the data across multiple machines, ensuring redundancy and fault tolerance. MapReduce, on the other hand, is the processing engine that breaks down large tasks into smaller, manageable chunks that can be executed in parallel. This is how Hadoop handles those seriously huge datasets – by dividing and conquering.
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