

#2183
Mentioned in 17 episodes
Designing Data-Intensive Applications
The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Book • 2017
This book helps software engineers and architects understand the pros and cons of various technologies for storing and processing data.
It covers fundamental principles, trade-offs, and design decisions in data systems, including scalability, consistency, reliability, efficiency, and maintainability.
The book delves into distributed systems research, the architecture of data systems, and how to make informed decisions about different tools and technologies.
It does not provide detailed instructions on specific software packages but focuses on the underlying principles and trade-offs essential for designing data-intensive applications.
It covers fundamental principles, trade-offs, and design decisions in data systems, including scalability, consistency, reliability, efficiency, and maintainability.
The book delves into distributed systems research, the architecture of data systems, and how to make informed decisions about different tools and technologies.
It does not provide detailed instructions on specific software packages but focuses on the underlying principles and trade-offs essential for designing data-intensive applications.
Mentioned by

















Mentioned in 17 episodes
Recommended by 

as a comprehensive guide for building data systems, used by the Blue Sky team.


Gergely Orosz

367 snips
AI tools for software engineers, but without the hype – with Simon Willison (co-creator of Django)
Mentioned by ![undefined]()

while discussing distributed systems and data replication strategies.

Ben Holmes

95 snips
#24 – Ben Holmes: Astro, Simple Sync Engine & Warp
Mentioned by ![undefined]()

as her favorite data book.

Autumn Nash

50 snips
Predicting Bluesky’s Scale with Jaz
Mentioned by ![undefined]()

in relation to local first data and distributed learning.

Katharine Jarmul

46 snips
#216 - Practical Data Privacy: Enhancing Privacy and Security in Your Application - Katharine Jarmul
Mentioned during the discussion of resilient applications and idempotency.

45 snips
The era of durable execution (Interview)
Mentioned by ![undefined]()

as consistently ranking well and being a high-quality, albeit lengthy, book.

Joe Reis

18 snips
Shane Gibson - The Power of the Information Product Canvas
Recommended by ![undefined]()

to get a deep, intuitive understanding of complex data systems.

Kirill Bobrov

15 snips
Kirill Bobrov Reflects on Grokking Concurrency
Recommended by Maciej Jedrzejewski as one of his favorite books, highly ranked on Goodreads.

15 snips
Master Software Architecture • Maciej «MJ» Jedrzejewski & Artur Skowroński
Mentioned by ![undefined]()

when discussing criticisms of RPC and comparing local and network function calls.

Sebastian Aigner

15 snips
kotlinx.rpc
Mentioned by ![undefined]()

as a great book for understanding distributed systems at a fundamental level.

Joe Reis

13 snips
Freestyle Fridays - The Skills Gap in Data
Mentioned by ![undefined]()

as the book he is helping to write a second edition of.

Chris Riccomini

13 snips
Chris Riccomini - Building (and Writing About) Data Intensive Applications
Mentioned by 

when discussing large-scale data processing in the context of building a high-scale social network.


Paul Frazee

13 snips
Paul Frazee on Bluesky and ATProto
Mentioned by ![undefined]()

as the de facto data engineering book at one time, written for software engineers but relevant to data engineers.

Joe Reis

12 snips
The Real Work of Data Engineering with Joe Reis
Recommended by ![undefined]()

as a good read to broaden your mind into thinking about storing data and the different requirements you might have to deal with.

Luciano Mammino

138. How Do You Become A Cloud Architect?
Recommended by Brian for a deep dive into data storage and database technologies.

#202 - The Best Books for Developers (That No One Talks About)
Mentioned by ![undefined]()

as one of the books he's been reading while studying data engineering.

Juhani Vanhatapio

Juhani Vanhatapio - From the Arctic Circle to AI
Mentioned as the book they are tackling at the beginning of next year (2026).

React is a Beautiful Mess - Advanced React by Nadia Makarevich
Mentioned by ![undefined]()

as one of the best books in their field.

Joe Reis

Simon Späti - The Art of Writing about Data Engineering
Recommended by 

as a valuable resource for understanding encoding and decoding.


Matthew Sanabria

SIMD & Go
Recommended by ![undefined]()

as a great compendium of knowledge on how to design scalable applications.

Przemysław Kozieł

Sezon V #3 - Hiring Squad w Allegro, czyli kogo spotykacie w rekrutacjach technicznych


