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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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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.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2017 Martin Kleppmann (P)2021 Upfront Books
Data Science Engineering Technology Machine Learning Software Inspiring Software Development Software Architecture
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Comprehensive Technical Depth • Practical Design Considerations • Clear Narration • Excellent Concept Explanations

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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.

Data out lives code

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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

good oversight of data architectures and tech

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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

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

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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.

Superb. Several semesters worth of classes.

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

phenomenal material and excellent narrator

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