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flykhan
2026-05-03 11:47:30 +08:00
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<text x="350" y="22" text-anchor="middle" font-family="Arial, sans-serif" font-size="14" font-weight="bold" fill="#333">Feature Store: Same Features for Training and Serving</text>
<!-- Feature computation -->
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<text x="90" y="82" text-anchor="middle" font-family="Arial, sans-serif" font-size="9" font-weight="bold" fill="#555">Raw Data</text>
<text x="90" y="96" text-anchor="middle" font-family="Arial, sans-serif" font-size="8" fill="#555">events, logs, DBs</text>
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<!-- Feature engineering -->
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<text x="258" y="86" text-anchor="middle" font-family="Arial, sans-serif" font-size="9" font-weight="bold" fill="#f39c12">Engineering</text>
<text x="258" y="102" text-anchor="middle" font-family="Arial, sans-serif" font-size="7" fill="#f39c12">same code for both paths</text>
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<text x="471" y="55" text-anchor="middle" font-family="Arial, sans-serif" font-size="10" font-weight="bold" fill="#3498db">Offline Store</text>
<text x="471" y="70" text-anchor="middle" font-family="Arial, sans-serif" font-size="8" fill="#3498db">data warehouse (batch)</text>
<!-- Online store -->
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<text x="471" y="135" text-anchor="middle" font-family="Arial, sans-serif" font-size="10" font-weight="bold" fill="#e74c3c">Online Store</text>
<text x="471" y="150" text-anchor="middle" font-family="Arial, sans-serif" font-size="8" fill="#e74c3c">Redis/DynamoDB (<5ms)</text>
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<text x="628" y="55" text-anchor="middle" font-family="Arial, sans-serif" font-size="9" font-weight="bold" fill="#3498db">Training</text>
<text x="628" y="69" text-anchor="middle" font-family="Arial, sans-serif" font-size="8" fill="#3498db">batch read</text>
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<text x="628" y="140" text-anchor="middle" font-family="Arial, sans-serif" font-size="9" font-weight="bold" fill="#e74c3c">Serving</text>
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<text x="350" y="210" text-anchor="middle" font-family="Arial, sans-serif" font-size="10" font-weight="bold" fill="#27ae60">Key: Same feature computation → No training-serving skew</text>
<text x="350" y="228" text-anchor="middle" font-family="Arial, sans-serif" font-size="9" fill="#27ae60">Without a feature store: training computes user_age one way, serving computes it differently</text>
<text x="350" y="240" text-anchor="middle" font-family="Arial, sans-serif" font-size="9" fill="#27ae60">→ model sees different features at inference → silently wrong predictions</text>
</svg>
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