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.<p>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.<p>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
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.