Hi All, I have been working in the field of data engineering before it was a real title. I was recently approached by a publisher to gauge my interest in publishing either simply on data analysis or data engineering.

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.