Rust for Data Engineering: Efficient, Safe, and Concurrent Data Processing

• Learn to build robust data processing systems using Rust
• Explore Rust’s performance, safety, and concurrency for data tasks

This 4-week course dives deep into leveraging Rust for efficient and reliable data engineering workflows:

• Mastering Rust data structures and collections for data processing
• Leveraging Rust’s safety/security features in data engineering context
• Using Rust libraries like Diesel, async, Polars, Apache Arrow
• Interfacing with data stores, REST/gRPC APIs, AWS SDK
• Designing full-fledged data pipelines and processing systems in Rust
• Hands-on projects for building data ingestion tools, ETL pipelines
• Best practices for handling large datasets, optimizing performance
• Techniques for writing safe, concurrent, and lock-free code
• Deploying and maintaining Rust-based data engineering solutions

By the end, you’ll gain practical experience building high-performance, secure data systems using Rust – preparing you for real-world data challenges.