I have a strong background in Python and I’m now looking to add another programming language that can boost my data engineering skills. Initially, I leaned towards Rust, but I’m reconsidering my choice. I’m also evaluating options such as Go, Java, C++, and Scala. Which of these languages would be the most advantageous for a data engineering role, and which one seems to have the most promising future in this ever-evolving field?
hey! i think java is a strong bet bcoz of its mature support for dat eng. also, have you ever considered scala? its functional flair might bring cool advantages. what experiences do others have with these languages in real projects?
hey, im leaning towards go rn. its simple and light, so ideal for scaling dat pipelines. not trying to bash rust bcoz its cool too, but go might make your dat eng journey easier. good luck decidin!
In my experience, exploring C++ can prove advantageous despite its steeper learning curve compared to higher-level languages. The language’s performance benefits are particularly evident in scenarios that demand intensive computation and low-latency processing. Many modern data engineering frameworks and libraries provide C++ interfaces, allowing you to fine-tune critical components of your data pipeline. While it may not be as universally adopted for data engineering tasks as Java or Scala, mastering C++ could give you a competitive edge when optimizing performance-critical modules in complex data workflows.