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This week we look into how to decompose the Data System for better reasoning.
7
Continuous Training (CT) and Data Quality in Machine Learning Systems.
This week we look into ins and outs of a Feature Store.
Decomposing Real Time Machine Learning Service Latency, Stream Processing: Event vs. Processing Timestamp.

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NewCommunity
The Data Value Chain, Data Contracts in the Data Pipeline, The 4 types of ML Model Deployment.
1
Implementing ML Inference in Streaming Applications, Types of Training/Serving Skew.
Patterns for implementing Business Logic in Machine Learning Services, Feature Platforms.
2
Introducing SwirlAI Data Talent Collective, Feature vs. Concept Drift, Website Activity Tracking System Design.
What's in Kubernetes for MLOps, Placing Data roles of 2023 on Data Value Chain.
2
Data Latency in ML Systems, MLOps Maturity Level 2, DBMS Architecture.
Lambda vs. Kappa Architecture, MLOps Maturity Model: Level 1.
2
CAP Theorem, MLOps Maturity Model: Level 0.
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