Ask HN: Would a book on “Data Engineering” be useful?
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. I cant give you any pointers on what topics to cover. But there is certainly market. I know that data engineering and finding relevant resources is one of the challenges faced by many startups today Thanks for your feedback. I have heard similar stories. I'm currently working with a publisher on a book that provides an intro C# and XML. The way that I have gauged what to put in is to think about what info I needed when I first started. That got me only so far so I took to the internet and started searching what kind of questions people are asking about handling XML. From there I was able to add topics/information that would solve problems of real people so that others who may have the same problem have a resource to go to.