Data Validation with Great Expectations
Write Your Data Assumptions as Tests, Run Them on Every Batch, and Stop the Pipeline When They Break.
Write Your Data Assumptions as Tests, Run Them on Every Batch, and Stop the Pipeline When They Break.
Serve Feast Features in Milliseconds, Keep Them Fresh, and Wire Them Into Your FastAPI Model at Inference Time.
Understand How Feature Stores Organize, Reuse, and Serve ML Features for Training and Real-Time Predictions.
Automate ML Model Deployment to Kubernetes with GitOps, ArgoCD, and Helm.
Automate ML Model Deployment to Kubernetes with GitOps, ArgoCD, and Helm.
60 Days DevOps Challenge: Day 53
Example: Kubernetes, Terraform, Docker, AWS, MLOps...