This project is another gentle piece of addition to our DE learning path but this time, not code 😎 😎. Okay, with this I'll be giving my sincerest and realest reviews of some data-engineering-centered books that can get you coding like a data engineer.
These selected books would be very very good for begineers, very good for early-intermediates and just good for experts who maybe wants to write a book of theirs too. So there we have them:
Everything I will be passing-across is entirely a biased opinion based on my own experience, it is not authorised by any body(s)/organization(s) nor is it for any kind of promotion or business thingy.
Also, I am recommending these books beacause they are all fine books 😃 and worth the read, so any not-so-nice remark I make does not make it not-worthwhile.
I should also say, keep in mind that these books are not skill-specific like an Airflow or Spark focused book, it a collection of a books teaching the job roles of a data engineer with an overall view of the required skill set. What I am saying is, it does nothing in-depth.
My recommendation paradigm would contain:
- it 👍👍,
- it 👎👎,
- and a better approach to readinging the book for effectiveness 🧠 🧠.
This is a new one of june 2022, this book on a little preview by myself, comments, reactions and discussion on LinkedIn; it does seems like a perfect book to get an high level understanding of Data Engineering. It a complete discussion on the paradigms, methodologies, skill-set, job role and the future of DE. I can't just wait to consume it knowledge already.
Want to race me at it??? send your reviews regarding it to me via LinkedIn or a email at my Gmail, let see who finish first.
Do actually take your time with the reading, ain't nobody racing anybody 🤣 🤣, but I will still love your feedback just anytime. Gracias.