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Designing Data-Intensive Applications

The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

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Designing Data-Intensive Applications

By: Martin Kleppmann
Narrated by: Benjamin Lange
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About this listen

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
Business & Careers Data Science Engineering Machine Learning Software Software Development Inspiring Architecture Programming AI and Humanity Business Computer Security Software Architecture

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Fantastic read

This book is excellent technically but it's also really well done as an audiobook, which is rare for a technical book

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Couldn’t concentrate

It’s likely my adhd mind, but I just couldn’t get into this book as an audiobook. The textbook is fantastic, but I don’t think it’s really suited to audio. There’s reference to diagrams for example that are not available. But it’s just too impenetrably dull a topic, particularly the opening chapters about data structures and databases - massively important topic but my mind immediately wanders as I listen.

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