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Airflow Sucks for MLOps // Stephen Bailey // MLOps Podcast #141

MLOps.community

NOTE

Real-Time and Low Latency Data Serving with Rockset

The recommendation system and product serving infrastructure require real-time, low latency, and high scalability. Using Rockset tool for real-time applications, data is dumped into a real-time analytics layer for extremely fast lookups and SQL queries. Results are queried through an API, allowing for fast iteration for new endpoints. Pre-computed recommendations are dumped into Rockset for serving. This setup enables quick updates and low latency, although the training aspect is handled differently by a data platform engineer compared to an ML engineer.

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