Designing Data-Intensive Applications
dataintensive.net
Designing Data-Intensive Applications
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Re: Designing Data-Intensive Applications
#2I really enjoyed this book. I was unfamiliar with quite a lot of the material, so I can't really evaluate it in terms of other references. As an introduction, it's fantastic. Nice coverage of practical, modern tools. Theory stuff is covered at a high level, but with a ton of references for further study. The author is pretty opinionated about a lot of the more hype driven "web-scale" marketing claims. I really appreciated that, as there's typically some kernel of truth behind the marketing fluff, and Kleppman brings these out with moderation and context.
Great book if you'd like to finally understand Jepsen.io articles.
Re: Designing Data-Intensive Applications
#3If you're trying to decide if this book is worth picking up, a number of HN commenters recommended it the last time it was brought up - https://news.ycombinator.com/item?id=15185663
Re: Designing Data-Intensive Applications
#4I was a bit dismayed that this was about the technical design of data-intensive applications, not about their UX design. There still seems to be a huge gap in the latter.
Re: Designing Data-Intensive Applications
#5I was a bit dismayed that this was about the technical design of data-intensive applications, not about their UX design. There still seems to be a huge gap in the latter.
Hah, I just thought the same! I've ended up in situations where I needed some UX patterns for data that updates often with many updates per second, and wondering how to show that the best way. Guess one example is log viewers with debug output from some program.
Would very much appreciate if someone has some resources to link or case studies.
Re: Designing Data-Intensive Applications
#6I'm actually midway through this book and I definitely recommend it. The content manages to be both approachable and enlightening. I'm a backend software engineer with the latitude to architect systems at my company and the content so far has given me a stronger foundation for choosing how and where to manage our data. I really enjoy the mini-dives into the structures and decisions supporting the common databases you see today (B-trees, LSM trees, etc.) and discussing the trade offs between them. Now I find myself better equipped to evaluate the tools at our disposal for a given job.
I can imagine it may not dive deep enough for people who really understand the internals of a given data store and the content is probably available elsewhere. However this book is a thoughtful and engaging curation of a lot of information that I may have missed otherwise
Re: Designing Data-Intensive Applications
#7I was a bit dismayed that this was about the technical design of data-intensive applications, not about their UX design. There still seems to be a huge gap in the latter.
Agreed. I was expecting some interesting data visualizations and other frontend topics.
Re: Designing Data-Intensive Applications
#8Picked this book up a few weeks ago and starting diving into a yesterday! As somebody who spends more time on the data generation and analysis side, but is looking to move more towards the data engineering side, it's been great. Helps build out that "tree trunk" of knowledge to really grok what's going on.
Edit: I picked it up based off the recommendation of another HN commenter who said they picked it up after listening to Martin on the SWE Daily Podcast[0]
[0] https://softwareengineeringdaily.com/2017/05/02/data-intensi...
Re: Designing Data-Intensive Applications
#9I really enjoyed this book. I was unfamiliar with quite a lot of the material, so I can't really evaluate it in terms of other references. As an introduction, it's fantastic. Nice coverage of practical, modern tools. Theory stuff is covered at a high level, but with a ton of references for further study. The author is pretty opinionated about a lot of the more hype driven "web-scale" marketing claims. I really apprec…
Came here to say the same thing. If you want to develop an intuition about when and why to use different data technologies this is the book for you. Each chapter is relatively self contained, so you don't have to read the whole thing to benefit from it.
Re: Designing Data-Intensive Applications
#10I got my work to get me this book, while I appreciate them doing so I wish O'Reilly put a code in or something to let you redeem a PDF copy too. I've seen other publishers do this (e.g. Manning)
I tend to read on the tube a lot and lugging a hefty O'Reilly tome around on my commute isn't ideal.
Currently the book is just sitting on a shelf, I'll get round to it one day!