When I google for "data analysis" there are obviously a whole lot of resources available. But data engineering on the other hand has less resources but have gone through bigger innovation in past few years.
So what are your thoughts? Will a book on data engineering covering latest tools, git repo structure, working with models, deploying at scale be helpful? Any ideas on what should be included/excluded. Really appreciate any inputs.