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[] Utilizing streaming cases for low-latency data
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Classroom Contents
AI Innovations: The Power of Feature Platforms - MLOps Mini Summit
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- 1 [] Real-time data, predictive features, and model integration
- 2 [] Fast data-driven model advancement without engineering constraints
- 3 [] Supports software team, data scientists' rapid iteration
- 4 [] Big organizations use Python for enterprise performance
- 5 [] Python enables collaboration, rapid iteration, retrieval ease
- 6 [] Subscription model to avoid overdraft, credit building
- 7 []Flexibility in feature engineering platform building process
- 8 [] Transformation of features for an advanced classifier, improvements
- 9 [] Compiler processes definitions into actionable entities, connectors included
- 10 [] Managing and storing state in a compiler
- 11 [] Fennel uses rocks DB on SSD's, partitioning, replication
- 12 [] Utilizing streaming cases for low-latency data
