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Feature Stores
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Feature Stores
10 posts · 8 sources · 9 interview questions
Practice
Redis
ScyllaDB
Netflix
Lyft
Dropbox
Qdrant
Stripe
Slack
Practice 9 questions
All
10
Machine Learning
3
Data Ingestion
2
Embeddings
2
Redis
Blog
1w
Scale your workloads without paying all-RAM prices
ScyllaDB
Blog
11 Aug
How Medium Powers Real-Time Recommendations at 1M OPS
Netflix
Blog
20 Jun
Thinking Fast & Slow for a Personalized Notification System
Redis
Blog
10 Jun
Real-Time Fraud Detection: Latency, Features & Scale
Lyft
Blog
6 Jan
Lyft’s Feature Store: Architecture, Optimization, and Evolution
Dropbox
Blog
18 Dec
Inside the feature store powering real-time AI in Dropbox Dash
Qdrant
Blog
8 Apr
How Mixpeek Uses Qdrant for Efficient Multimodal Feature Stores
Stripe
Blog
15 Apr
Shepherd: How Stripe adapted Chronon to scale ML feature development
Slack
Blog
6 Sept
Recommend API
Netflix
Blog
26 Apr
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