Designing Data-Intensive Applications

The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

De: Martin Kleppmann

Narrado por: Benjamin Lange

Newly adapted for audiobook listeners.

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?

In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

Peer under the hood of the systems you already use, and learn how to use and operate them more effectively.

Make informed decisions by identifying the strengths and weaknesses of different tools.

Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity.

Understand the distributed systems research upon which modern databases are built.

Peek behind the scenes of major online services, and learn from their architectures.

©2017 Martin Kleppmann (P)2021 Upfront Books

Extremely valuable book for senior developers without big data experience as most probably you’ve got many myths to be busted

This book uncovers such important things like transactionslity, consistency, scale, timing, and as it turns they are much deeper and less reliable than you could have expected

Data out lives code

This book was excellent. It’s a must read for anyone in the data industry it highlights very well how coding and technology are there to serve the data. It provides great understanding of the inner workings of data systems, even for the non-technical data leader.

good oversight of data architectures and tech

Me agradó, considero que debe ser un must-to-read para cualquier profesional de la tecnología , por qué el manejo de datos e inherente a cualquier implementación

Excellent material

What can i say, this should be “must read” material for each software developer. The author explains each topic in a well thought manner and everything is nicely summarized. Excellent book, buy it you wont regret it!

Great summary

Excellent review of current technologies and design patterns. Initial parts of the book provide some general CS and DB background that could be skipped.

Clear recording

I enjoyed listening to the book so i refreshed my information and learned new concepts.

Awesome book

The breadth and depth of content fit into this book is incredible. I'll definitely listen to this book multiple times

Just the right level of detail to survey the field

Excellent content, marred only by a production flaw that makes navigation difficult (the majority of the runtime is missing from the chapter list, and during those sections the player displays almost nothing—neither a section name, nor a length, nor time elapsed).

Superb. Several semesters worth of classes.

I have over a decade of experience with software development related to data systems, yet this book made me realize there is a lot I still can learn.
The book builds up from fundamentals to higher level concepts, and in an enjoyable and logical manner.
It's quite amazing that an AUDIO book on this topic can be this good. I am left inspired to put all this excellent knowledge to good use.

phenomenal material and excellent narrator

material is complex and dense,but narrator does it justice. great job all around, O'Reilly and audible