#1624

Mentioned in 26 episodes

Designing Data-Intensive Applications

The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Book • 2017

Martin Kleppman

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

Sebastian Aigner

Martin Kleppmann

Katharine Jarmul

Chris Riccomini

Mentioned in 26 episodes

Recommended by

Gergely Orosz

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

AI tools for software engineers, but without the hype – with Simon Willison (co-creator of Django)

Mentioned by

Ben Holmes

while discussing distributed systems and data replication strategies.

#24 – Ben Holmes: Astro, Simple Sync Engine & Warp

Mentioned by

Autumn Nash

as her favorite data book.

Predicting Bluesky’s Scale with Jaz

Mentioned by

Katharine Jarmul

in relation to local first data and distributed learning.

#216 - Practical Data Privacy: Enhancing Privacy and Security in Your Application - Katharine Jarmul

Mentioned during the discussion of resilient applications and idempotency.

The era of durable execution (Interview)

Mentioned by

Sebastian Aigner

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

Mentioned by

David Wynn

and discussed by

Martin Kleppmann

and

Chris Riccomini

as the influential book whose second edition they authored.

Re-Designing Data-Intensive Applications: The Shift to Cloud-Native Storage

Mentioned by

Joe Reis

as a recommended book for architecture and data systems understanding.

The Tech Job Market is Brutal. Is Freelancing Your Plan B? w/ Jody Hesch

Recommended by

Leon Noel

as a systems-level resource when learning architecture and patterns for data-intensive apps.

Do You Actually Need to Learn Coding Anymore? (Has AI taken this away from us)

Mentioned by

Joe Reis

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

Shane Gibson - The Power of the Information Product Canvas

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