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Designing Data-Intensive

Applications: The Big Ideas Behind

Reliable, Scalable, and Maintainable

Systems PDF

Designing Data-Intensive Applications: The Big Ideas Behind Reliable,

Scalable, and Maintainable Systems by Martin Kleppmann

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Read and Download Ebook Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, And Maintainable Systems PDF

Designing Data-Intensive Applications: The Big Ideas Behind

Reliable, Scalable, and Maintainable Systems PDF

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable

Systems by Martin Kleppmann

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

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and Maintainable Systems PDF

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