Scaling Machine Learning with Spark: Distributed ML with MLlib, TensorFlow, and PyTorch
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Database Internals: A Deep Dive into How Distributed Data Systems Work
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Exploring Edge Computing: A Comprehensive Guide to Distributed Data Processing (Tech books)
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Streaming Systems: The What, Where, When, and How of Large-Scale Data Processing
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Learning Ray: Flexible Distributed Python for Machine Learning
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