Скачать или смотреть FanDuel’s Data Challenges Before Snowplow + AWS | ETL Latency, Schema Management & Cost Scaling

Before adopting Snowplow and AWS, FanDuel faced major challenges with their behavioral data pipelines:

✅ Complex, custom ETL/ELT pipelines added latency and slowed access to insights
✅ Data wasn’t landing directly in the warehouse, creating engineering overhead
✅ Schema changes across decentralized teams caused friction for analysts
✅ Scaling event collection drove up infrastructure and cost concerns

In this clip, Tony Cui (Senior Data Engineering Manager at FanDuel) explains what their “previous state” looked like—and why they turned to Snowplow + AWS to modernize their data infrastructure.

👉 Watch the full 30-minute fireside chat with FanDuel, Snowplow, and AWS here:
https://snowplow.io/events/real-time-...

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