In addition, he explains in detail how local databases work, therefore all the concepts of “transaction”, up to distributed databases (eg CosmosDB, Key-Value stores, etc).
Starting from a long way off, he clarifies the most commonly used terms, such as reliability, scalability, maintainability, ACID, etc.
The author, Martin Kleppmann, who if you don’t know him you can also appreciate him for his youtube channel that talks about distributed systems, has the very rare ability to be able to explain very complex concepts in a very simple way. While the book’s ultimate purpose is to give ideas on how to build reliable applications that handle large amounts of data, even the back-end developer working on simpler systems – such as simple APIs – may find it useful. 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.Knowing my passion and interest in distributed systems, a colleague of mine recommended Martin Kleppmann’s book “Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems” which, even if a few years ago, in my opinion it is still very current for those who develop back-end applications and architects who want to migrate their on-promise systems to the Cloud (eg Azure, AWS, etc). Software keeps changing, but the fundamental principles remain the same. 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. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. Data is at the center of many challenges in system design today.
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