Each chapter starts with a cartoon map of the territory, which I thought would be a bit gimmicky but it serves as a nice summary of what the chapter covers particularly in terms of the software available. The book is divided into three broad sections covering foundations of data systems, distributed data and derived data. Seven Databases is more concerned with the specifics of particular NoSQL databases whilst Designing Data-Intensive Applications is concerned about data applications rather than just the underlying database. Wilson, in the sense that it provides a broad overview of a range of different data systems which are specialised for different applications.
It is reminiscent of Seven Databases in Seven Weeks by Eric Redmond and Jim R. The book provides a lot of detail on how various types of databases and database functionality work, and how these can be plumbed together to build applications. 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.Designing Data-Intensive Applications by Martin Kleppmann does pretty much what it says in the title. Software keeps changing, but the fundamental principles remain. 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 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.
This book examines the key principles, algorithms, and trade-offs of data systems, using the internals of various popular software packages and frameworks as examples. Programming & scripting languages: generalĭescription for Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Paperback.Mobile & handheld device programming / Apps programming.Computer programming / software development.
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