Become a better data engineer on a shoestring (free resources)
Let’s say you are the Lead Data Engineer of a small data-driven company.You need to define a strategy, pick a stack of tools, decide how data is going to be stored and normalised, what the workflow will be from ad-hoc, exploratory studies to productionized inference.Are there any good resources out there that are useful to this person?I am this person right now and I need to find some good guidance.