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So far we've covered many topics ranging from a light introduction to the Rust programming language, it's history, features and benefits for Data Engineering. We also covered how it compares to other programming languages and which that made you excited about what is ahead of us:
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It's important to know how Rust compares to Python if you consider switching some of your workloads to Rust. Using Rust instead of Python is a tough sell especially for things like data engineering. For any data problem that you can think of, there might surely be some
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After going through some of Rust's main features, it might make sense to have a closer look at how these features help our data engineering efforts. Some of the points have already been covered but it makes sense to list them again in a general overview. Reliability and
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Now let's have a look at Rust's features, without going too much into details. Just a light overview of what this is all about and how it might be helfpul for us data engineers. Statically-typed and compiled Rust is a statically typed language. To simplify, this
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Now that we had a look at a short introduction on Rust for Data Engineering, let's get an understanding for where it came from and perhaps where it's headed to. The beginnings Graydon Hoare created Rust as a personal project in 2006 while working at Mozilla.
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We'll start this guide by a short introduction to Rust as well as showing a few code snippets for how you can start using Rust. 💡It's not important to immediately understand everything. The important part is to get you to run Rust code as fast as