As a data engineer, you would have spent hours trying to figure out the right place to make a change in your repository—I know I have. > You think, "Why is it so difficult to make a simple change?". > You push a simple change (with tests, by the way), and suddenly, production issues start popping up! > Dealing with on-call issues when your repository is spaghetti code with multiple layers of abstracted logic is a special hell that makes data engineers age in dog years! > Messy code leads to...| www.startdataengineering.com
Source code: Lib/abc.py This module provides the infrastructure for defining abstract base classes(ABCs) in Python, as outlined in PEP 3119; see the PEP for why this was added to Python. (See also ...| Python documentation
As data engineers, you might have heard the terms functional data pipeline, factory pattern, singleton pattern, etc. One can quickly look up the implementation, but it can be tricky to understand what they are precisely and when to (& when not to) use them. Blindly following a pattern can help in some cases, but not knowing the caveats of a design will lead to hard-to-maintain and brittle code! While writing clean and easy-to-read code takes years of experience, you can accelerate that by und...| www.startdataengineering.com
If you are trying to improve your data engineering skills or are the sole data person in your company, it can be hard to know how well your technical skills are developing. Questions like Am I building pipelines the right way? How do I measure up to DEs at bigger tech companies? How do I get feedback on my pipeline design? It can cause a lot of uncertainty in career development! Imagine if you know that your code is on par (or even better than) with pipelines at tech-forward companies and tha...| www.startdataengineering.com
Data pipelines built (and added on to) without a solid foundation will suffer from poor efficiency, slow development speed, long times to triage production issues, and hard testability. What if your data pipelines are elegant and enable you to deliver features quickly? An easy-to-maintain and extendable data pipeline significantly increase developer morale, stakeholder trust, and the business bottom line! Using the correct design pattern will increase feature delivery speed and developer valu...| www.startdataengineering.com