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Big Data Storage Systems primarily manage data volume, speed, and variety, handling petabytes and exabytes of data. Technologies like Apache Hadoop, Apache Cassandra, and Amazon S3 are widely used. Architectures for storage, processing, and analysis employ parallel and distributed computing. The increasing global data volume is expected to reach 175 zettabytes by 2025, emphasizing the importance of rapid databases and real-time analytics to enhance data value

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