Incremental Computation
Incremental computation is a computing paradigm that recomputes only the affected portions of a result when the underlying data changes, and is commonly used for materialized view maintenance in real-time analytics. It is efficient for decomposable metrics such as sums, counts and averages, and is used in conjunction with stream processing.
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Incremental Computation means that when the underlying data changes, only the affected partial results are recomputed, rather than recomputing everything each time.
The key difference between incremental computation and stream processing: stream processing performs in-window processing on event streams, while incremental computation continuously maintains state, and the two are often used together.
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Incremental Computation means that when the underlying data changes, only the affected partial results are recomputed, rather than recomputing everything each time.
50%UnverifiedThe key difference between incremental computation and stream processing: stream processing performs in-window processing on event streams, while incremental computation continuously maintains state, and the two are often used together.
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