What primary (e.g., Snowflake, SQL Server, Excel local files) are you connecting to?
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Unlike traditional row-oriented databases that evaluate expressions row by row, Hyper processes data using a vectorized execution model. Data is chunked into cache-efficient vectors, allowing the CPU to execute Single Instruction, Multiple Data (SIMD) operations. This architecture maximizes L1 and L2 cache utilization, significantly decreasing memory bus traffic during massive aggregations.