Performing Distributed Database Data Compression using AI
Keywords:
data compression, distributed databases, AI algorithms, database optimizationAbstract
Distributor database compression is used to swiftly store and retrieve large volume of data. AI algorithms are used for condensing database data. AI-enhanced compression affects storage efficiency, compression ratio, access speed and scalability. Number of case studies contrasts deep learning, reinforcement learning, Huffman coding, LZW, and compression methods can adapt to shifting data patterns and enhance distributed database performance.
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References
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