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3 articles in Data Engineering
Why Polars Is Becoming the Go-To Data Frame Library for AI-Driven Applications in 2026
Polars is rapidly gaining traction among software teams seeking high-performance data manipulation for AI workloads. This post explores its rise, real-world applications, and how to integrate it into your automation stack in 2026.
How Rust Expression Plugins Are Supercharging Polars for AI‑Ready Data Pipelines in 2026
Discover why extending Polars with Rust expression plugins is becoming a 2026 staple for businesses building fast, scalable AI workflows. Learn the technical benefits, real‑world performance gains, and how to get started today.
Why Text-to-SQL Benchmarks Must Evolve for Real-World Data in 2026
Current text-to-SQL benchmarks overlook the messy realities of production databases, leading to AI models that fail in practice. This post explores the gaps, outlines what a realistic benchmark needs, and shows how businesses can build AI that truly works with complex data stores.