I'm grateful you wrote this book, and for this article. You highlighted so many hard truths that are unknown (pun intended) to most, and hardly ever mentioned.
Nothing worth doing is easy - teaching fundamentals is akin pouring the foundation for a building. It has to stand the test of time, to support whatever is built on top. 20 years after I came up with this analogy - it still holds.
Foundation is something we don't see, we don't think of - we like the shiny countertops and latest design of cabinets, etc. Those - we see and admire. But all will topple if the foundation is not proper.
To any haters - I invite you to take one topic and teach it in an agnostic way. No mention of any tool, no LLMs use. Then come back and let's have a conversation.
Last but not least, I'm really glad you read Sergio's article!
Just hired a super smart engineer to be a data architect, guy is brilliant but has limited data-specific knowledge, this is one of the three books I told him to read before he starts (DDIA and Kimball being the other two). It’s a modern classic.
This booked helped me start to start to see and understand what’s actually going on with all the data at my work. I’m excited to take the Coursera course when I’m on paternity leave this year
I'm grateful you wrote this book, and for this article. You highlighted so many hard truths that are unknown (pun intended) to most, and hardly ever mentioned.
Nothing worth doing is easy - teaching fundamentals is akin pouring the foundation for a building. It has to stand the test of time, to support whatever is built on top. 20 years after I came up with this analogy - it still holds.
Foundation is something we don't see, we don't think of - we like the shiny countertops and latest design of cabinets, etc. Those - we see and admire. But all will topple if the foundation is not proper.
To any haters - I invite you to take one topic and teach it in an agnostic way. No mention of any tool, no LLMs use. Then come back and let's have a conversation.
Last but not least, I'm really glad you read Sergio's article!
Thanks SO much for being awesome Ramona. Your friendship and support means a lot
Thanks Joe for the book ! Is a great DE baseline. by the way the course by Coursera DE+AWS+speakers is awesome and build the optimal path.
Thanks Jorge! Much appreciated.
Just hired a super smart engineer to be a data architect, guy is brilliant but has limited data-specific knowledge, this is one of the three books I told him to read before he starts (DDIA and Kimball being the other two). It’s a modern classic.
Awesome! Wish him good fortune
Great book and great course 😊, thanks for everything
thanks
Joe, two of my data analysts are going through the book, one alongside your Coursera course.
I've lent my signed copy to a software engineer friend who wants to fully transition to data engineering.
I push this book in my circle of nerd friends, and like you said, even experienced folks get something out of the book.
So yes, forget the haters!
P.S. — Looking forward to the release of your data modeling book 😁
Thanks so much Richard!
Is the audio book version "read by Joe Reis" still in the pipeline? 😜
Sadly, our publisher sold the audiobook rights without telling us, so that's unlikely :(
This booked helped me start to start to see and understand what’s actually going on with all the data at my work. I’m excited to take the Coursera course when I’m on paternity leave this year