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For instance, partition pruning, data skipping, and columnar storage formats (like Parquet and ORC) allow efficient data retrieval, reducing scan times and query costs. This is invaluable in bigdata environments, where unnecessary scans can significantly drain resources.
SIMD describes computers with multiple processing elements that perform the same operation on multiple data points simultaneously. SIMT describes processors that are able to operate on data vectors and arrays (as opposed to just scalars), and therefore handle bigdata workloads efficiently.
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