Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems - 1st Edition

Data is at the heart of many challenges in system design today, including issues like scalability, consistency, reliability, efficiency, and maintainability. With a wide range of tools available such as relational databases, NoSQL datastores, stream or batch processors, and message brokers—it can be hard to choose the right options for your application and understand all the buzzwords involved.

In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this complex landscape by exploring the advantages and disadvantages of different technologies for processing and storing data. While software constantly evolves, the core principles remain the same. This book teaches software engineers and architects how to apply these principles effectively and make the most of data in modern applications.