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Eugene Kim
.ical


Session

09-03
13:30
30min
Inside the Engine of “KnoWaterleak”: Real-Time Search and On-Demand Vector Tiles for Large Pipeline Data
Kenji Takase, Eugene Kim

From our production “KnoWaterLeak” leakage-risk service, we show real-time, on-demand vector tiles for large pipeline datasets. We cover in-database MVT generation, safe DSL-to-JSON translation, routing between tile and aggregation endpoints, and data-model choices that keep latency low and database load predictable.

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