
edXRust brings a rare combination to data engineering: performance and memory safety. This course teaches you to build data pipelines that run fast, use minimal resources, and won't crash under unexpected input—valuable when data volumes grow and infrastructure costs matter.
You'll master Rust's data ecosystem: async/await for concurrent processing, Polars for vectorized data manipulation, Arrow for columnar formats, and how to integrate with databases and APIs. Then you'll build real data pipelines: ingestion, transformation, loading—the unglamorous work that moves all the data through systems.
Safety is baked in. Rust's type system and borrow checker prevent entire classes of bugs (data races, use-after-free, overflow) at compile time. The result: systems that perform and stay reliable under production load. Hands-on projects ground the learning in real patterns. For data engineers, infrastructure teams, and developers building data-intensive systems that need to scale confidently.
Rust for Data Engineering: Efficient, Safe, and Concurrent Data Processing
This 4-week course dives deep into leveraging Rust for efficient and reliable data engineering workflows:
By the end, you'll gain practical experience building high-performance, secure data systems using Rust - preparing you for real-world data challenges.
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Tracking since 1 Aug— not enough history yet to tell you whether today's price is any good. Watch the course and we'll tell you when it drops.
This is what we recorded in US pricing — not every price this course has ever had, and prices differ by country.