Data-Intensive Apps

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Data-Intensive Apps

Data-Intensive Apps

@intensivedata

An @OReillyMedia book by @martinkl.

ISBN 1449373321, in your favorite bookstore Katılım Temmuz 2014
2 Takip Edilen8K Takipçiler
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GarrenSmith
GarrenSmith@GarrenSmith·
I've written a blog post on why I own two copies of Designing Data-Intensive Applications by @martinkl Spoiler - The book is so useful and full of great insight. garrensmith.com/designing-data…
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Trevor James Nangosha
Trevor James Nangosha@TJNangosha·
Building Data-intensive applications by @martinkl As a software engineering student, this book has demystified concepts. It talks to me directly. If there was a book I could ever recommend. 🙏🏾🙏🏾🙏🏾
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Data-Intensive Apps
Data-Intensive Apps@intensivedata·
Lots of love for Designing Data-Intensive Applications in this thread ❤️
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Rina Artstain
Rina Artstain@rinaarts·
בשולי הדברים NFS Illustrated ספר מצוין למי שצריך להתעסק במערכת קבצים (נשמע נישתי אבל מגייסים אצלנו וזה) וסוף סוף הגעתי גם לקרוא את Designing Data Intensive Systems (לא סיימתי) אבל שניהם כתובים היטב וקריאים מאד.
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Pratik Agarwal
Pratik Agarwal@pratikagarwal96·
I solved a problem at work to guarantee eventual consistency of my system using so many of the concepts called out in @intensivedata. I cannot explain this feeling of joy. I highly recommend every software engineer to read the book if they haven't. @martinkl
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Jag Singh
Jag Singh@JagveerLLC·
Finished reading through Martin Kleppmann's book "Designing Data Intensive Applications" and wrote up a Book Club article on it. Would highly recommend it to any software or data engineer. #BigData #Data #DataEngineering #DataScience #Software @jaguarsingh/the-cs-book-club-designing-data-intensive-applications-2bb887099c13" target="_blank" rel="nofollow noopener">medium.com/@jaguarsingh/t…
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Tomek
Tomek@TomekSkupinski·
@intensivedata by @martinkl is by far the best technical book I have read. Dense with knowledge and examples. All wrapped in clean not over-complicated writing. It's surprisingly good in the form of audiobook (I am consuming both pdf and audio) if you prefer this form.
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Ibrahim Najjar
Ibrahim Najjar@abjrcode·
Designing Data-Intensive Applications is hands down my number one technical book from all the ones I have read and I do read a lot. Very clear writing style. Not too detailed. Not too general. Just right on everything.
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Data-Intensive Apps
Data-Intensive Apps@intensivedata·
@dangolant Reasons for success are anybody's guess, but my interpretation of history is that Kafka's performance and scalability were major contributors. Also, Storm was a stream processing framework that made good use of Kafka's log semantics for fault tolerance in Kafka's early days.
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Data-Intensive Apps
Data-Intensive Apps@intensivedata·
@dangolant There were tons of systems (including databases) that used partitioned logs internally, but I don't know of any popular system that really leaned into distributed-logs-as-API in the way Kafka does.
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ekougs
ekougs@ekougs·
Currently reading @intensivedata and this book is just the awesomest I read lately. It may be broad but it gives you enough details when needed and is highly readable. Can't recommend it enough! Kudos to the author, this is truly great work.
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Data-Intensive Apps@intensivedata·
@sheeshee There will be a second edition sometime… but work on it has not yet started, so please don't hold your breath just yet!
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Su-Shee (@sushee@fosstodon.org)
I'm totally hoping there will be a 2nd edition of "designing data intensive applications" reflecting new stuff arising and other stuff being gone by now.. will there?? :) cc/ @intensivedata ❤️ :)
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Andrey Grigorov
Andrey Grigorov@peneksglazami·
Sometimes some books impress me so much that I start giving them away so that someone else can experience the same positive emotions. My latest hero is "Designing Data-Intensive Applications" @intensivedata by @martinkl. I bought and donated three already.
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Piotr Kafel
Piotr Kafel@PiotrKafel·
Just finished reading "Designing Data-Intensive Applications" ( @intensivedata ). If you want to check out my casual review of the book you can find it here - goodreads.com/review/show/21… TLDR: Its a must read for software engineers!
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