#1074
Mentioned in 38 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.

Mentioned by

Mentioned in 38 episodes

Mentioned by
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Gergely Orosz
and
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Martin Kleppmann
while discussing Martin’s authorship, why he wrote it, and what changed in the second edition.
522 snips
Designing Data-intensive Applications with Martin Kleppmann
Recommended by
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Gergely Orosz
as a comprehensive guide for building data systems, used by the Blue Sky team.
380 snips
AI tools for software engineers, but without the hype – with Simon Willison (co-creator of Django)
Mentioned by
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Ben Holmes
while discussing distributed systems and data replication strategies.
95 snips
#24 – Ben Holmes: Astro, Simple Sync Engine & Warp
Recommended by
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Marc Brooker
as a must-read for people building distributed systems.
76 snips
AWS Distinguished Eng: Learning From 3000 Incidents And How Engineering Is Changing | Marc Brooker
Mentioned by
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Autumn Nash
as her favorite data book.
50 snips
Predicting Bluesky’s Scale with Jaz
Mentioned by
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Katharine Jarmul
in relation to local first data and distributed learning.
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
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Sebastian Aigner
when discussing criticisms of RPC and comparing local and network function calls.
30 snips
kotlinx.rpc
Mentioned by
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David Wynn
and discussed by
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Martin Kleppmann
and
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Chris Riccomini
as the influential book whose second edition they authored.
29 snips
Re-Designing Data-Intensive Applications: The Shift to Cloud-Native Storage
Mentioned by
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Joe Reis
as a recommended book for architecture and data systems understanding.
25 snips
The Tech Job Market is Brutal. Is Freelancing Your Plan B? w/ Jody Hesch

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