How HomeToGo Leverages Live User Signals with Tecton and Snowplow
Автор: Tecton
Загружено: 2025-03-12
Просмотров: 43
Описание:
In this architectural walkthrough, you’ll discover:
Why HomeToGo evolved beyond offline features to incorporate live user behavior data
How they implemented feature pipelines that handle multiple data velocities, ensuring models have reliable access to high-quality data for each feature type (batch, streaming and request-time)
Technical details of their Tecton + Snowplow stack, which captures comprehensive customer behavior data, computes rich features, and serves them online at low latency
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