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
Do you use SQL or Python for data processing? Every data engineer will have their preference. Some will swear by Python, stating that it's a Turing-complete language. At the same time, the SQL camp will restate its performance, ease of understanding, etc. Not using the right tool for the job can lead to hard-to-maintain code and sleepless nights! Using the right tool for the job can help you progress the career ladder, but every advice online seems to be 'Just use Python' or 'Just use SQL.' U...| www.startdataengineering.com
You know Python is essential for a data engineer. Does anyone know how much one should learn to become a data engineer? When you're in an interview with a hiring manager, how can you effectively demonstrate your Python proficiency? Imagine knowing exactly how to build resilient and stable data pipelines (using any language). Knowing the foundational ideas for data processing will ensure you can quickly adapt to the ever-changing tools landscape. In this post, we will review the concepts you n...| www.startdataengineering.com