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Temporal Analysis with Stream Windowing Functions in DuckDB

DuckDB can perform time-based analytics using windows with different semantics (e.g., tumbling, hopping and sliding windows). In this post, we demonstrate these by detecting trends and anomalies in the railway service at Amsterdam Centraal Station.



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Temporal Analysis with Stream Windowing Functions in DuckDB

https://duckdb.org/2025/05/02/stream-windowing-functions.html

DuckDB can perform time-based analytics using windows with different semantics (e.g., tumbling, hopping and sliding windows). In this post, we demonstrate these by detecting trends and anomalies in the railway service at Amsterdam Centraal Station.



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https://duckdb.org/2025/05/02/stream-windowing-functions.html

Temporal Analysis with Stream Windowing Functions in DuckDB

DuckDB can perform time-based analytics using windows with different semantics (e.g., tumbling, hopping and sliding windows). In this post, we demonstrate these by detecting trends and anomalies in the railway service at Amsterdam Centraal Station.

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