Tại sao Rust là lựa chọn cho Data Engineering? Khám phá 7 lý do chính từ performance, memory safety, đến WebAssembly và hệ sinh thái data tools như Apache Arrow, DataFusion, và Polars. Bài viết chi tiết về ưu nhược điểm, learning curve, và tương lai của Rust trong lĩnh vực Data Engineering và Big Data processing.

This blog post will provide an overview of the data engineering tools available in Rust, their advantages and benefits, as well as a discussion on why Rust is a great choice for data engineering.

If you're interested in data engineering with Rust, you might want to check out Polars, a Rust DataFrame library with Pandas-like API.

My data engineering team at Fossil recently released some of Rust-based components of our Data Platform after faced performance and maintenance challenges of the old Python codebase. I would like to share the insights and lessons learned during the process of migrating Fossil's Data Platform from Python to Rust.