Rust for Python data engineers
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| Title | Rust for Python data engineers |
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| Number of Parts | 141 |
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| License | You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this license. |
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| Abstract | Python is a popular language for data engineering but has some limitations in performance, concurrency, and production deployments. The Rust programming language offers powerful alternatives with strong compile-time and memory safety guarantees. In this talk, I'll explore how data engineers can leverage Rust to build high-performance data pipelines and processing systems. I'll cover the Rust ecosystem for data work, including frameworks and libraries for working with data formats, databases, streaming systems, and scientific computing. By combining Rust and Python, data engineers can harness the benefits of both languages and build robust end-to-end data systems that scale to meet demanding production needs. |
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