Data @Scale Spring 2022
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Real-Time Data Processing for ML Feature Engineering

In Meta, we had developed multiple real-time data processing infrastructure like Puma, Stylus and Turbine (SIGMOD ’16 and ICDE ’20). As Meta grows, the needs for real-time data has grown way beyond traditional data analytics & reporting scenarios. Recently, ML data engineering become increasingly a strong driving force. The real-time data is no longer only examined by human occasionally, but powers ML-based systems to always gain the freshest knowledge and make higher quality predictions. We will talk about the architecture of our latest generation, consolidated real-time data processing platform and how we evolve it for ML real-time feature engineering.

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