Data Engineering 1:Manage Work Life Balance #trending #life #datascience #learning #like #jeenu #fyp

Data engineering can cause you to have a bad work/life balance.

Here are the best ways to maintain a good work/life balance in data engineering:

Pick the right engine: Use a mature engine that's well-architected and doesn't blow up frequently. Data engineering is hard enough. You shouldn't spend time on "engine bugs" - you need to focus on business logic.

Pick the Right vendor: choose a vendor that specializes in running your chosen engine in production. Don't try to build a production runtime yourself (unless you have a huge team and an enormous budget).

Use software engineering best practices: Notebooks are great for analyzing data and some small tasks, but most production jobs should live in repos with unit tests, version control, well-defined public interfaces, and documentation. ... https://www.youtube.com/watch?v=BmT76ajsOJY