Stream processing fundamentals - CS 591 K1: Data Stream Processing and Analytics Spring 2020
updated with a single pass over streaming tuples in their arrival order • Small space: memory footprint poly-logarithmic in the stream size • Low time: fast update and query times • Delete-proof: University 2020 Issues with synopses • They are lossy compressions of streams • trade-off memory footprint for accuracy • Query results are approximate with either deterministic or probabilistic error0 码力 | 45 页 | 1.22 MB | 1 年前3
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