Scaling Feature Engineering Pipelines with Feast and Ray

Scaling Feature Engineering Pipelines requires moving beyond manual Python scripts and CSV files. By integrating Feast for feature management and Ray for distributed compute, developers can eliminate training-serving skew and solve high latency issues. This guide explores the architectural shift needed for production-grade machine learning systems using point-in-time correct data joins.

Is the AI and Data Job Market Actually Dying?

Is the AI and Data Job Market dead? While layoffs have dominated the news, the data shows a different story. Senior roles are growing, but requirements are shifting from generic data science to specialized engineering and infrastructure. Learn why the market is evolving, not dying, and what skills you need for 2026.