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 NoSQL datastores, stream or batch processors, and message brokers.

"Designing Data Intensive Applications" by Martin Kleppmann is a comprehensive and informative book aimed at software developers, students, and professionals interested in data analysis, programming, and data visualization. Published by O'Reilly Media in 2017, this non-fiction technical book delves into the practical examples and case studies of designing data-intensive applications. With a focus on scalability, performance, and reliability, this large paperback book covers in-depth exploration of architectures and comprehensive coverage of data systems, making it a valuable resource for anyone looking to enhance their skills in this area.