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.
