I'm interested in reading this, but I hope people also read the classic books on the Kimball model. Yes, it is "old", but it is "old" in the way sql and relational database are "old" - the are something people got pretty much right early on. I'm not saying a simple star schema in one db is always the answer, but it is still very often the answer.<p>It is sad that so many data modelers are just playing it by ear and have never read anything on the topic. I'm finding this to be more and more true throughout programing though. Nobody reads the definitive books anymore, just blog posts and SO, and maybe some online bootcamp. And engineering quality is declining accordingly.
I have read the free version and it is well written. However I do think that we need another book that extensively speak about modern tech stack data modelling, something similar to Kimball but targeting modern industries such as mobile gaming, large-scale e-commerce, video streaming and etc.<p>From my years of exp I feel that Kimball is not exactly the best solution for those techs. They typically involve very large amount of data, fast iteration (of anything, including data warehousing), columnar database and real-time streaming requirement.
The previous related thread:<p><i>We need new data books, so we started one: Cloud Data Management</i> - <a href="https://news.ycombinator.com/item?id=21411893" rel="nofollow">https://news.ycombinator.com/item?id=21411893</a> - Oct 2019 (47 comments)
This is brilliant! I just ordered my copy.<p>Matt/Dave I am the host of The Data Project podcast and I would love to talk about this with you at some point next year. Here is the project page: <a href="https://www.datafoundations.com.au/the-data-project" rel="nofollow">https://www.datafoundations.com.au/the-data-project</a><p>If you want to explore this, drop me an email at: podcast [at] datafoundations.com.au<p>Cheers!
I saw 'data books' and thought of studying EE many years ago. Data books were things you got from semiconductor manufacturers detailing their electronic components. Those old data books were like gold then, but I pitched them all at some point years ago as I don't do that work and most of the part are now obsolete.
Congrats on the launch! I work as a data engineer at Shopify designing data models and building data pipelines for our merchant-facing analytic products. I’ve learned a lot about model design from Kimball, but (as you mention) found it vague in some critical areas. I’ve ordered a copy and am excited to give it a read.
Just recommended it to a friend who's missing a ton of opportunities with their data. They said this book is exactly what they need right now and bought a copy!
For students is there a system to get physical books on software engineering at a discount? I don't mind a $15 book, but they're typically $30-$50 a pop. I and other students I work with would love to delve further into industry materials, and it's really nice to own an actual book that can be referenced back to and nest with.