Issues such as scalability, consistency, reliability, efficiency, and maintainability are at the forefront of these discussions. Readers will gain insights into how to peer under the hood of the systems they already use, improving their ability to operate and optimize these tools effectively.
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,
“Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems” by Martin Kleppmann is a comprehensive textbook published by O’Reilly Media in 2017. Focusing on the subject area of computers, this trade paperback book covers data modeling and design, as well as desktop applications and databases. With 614 pages, this book provides in-depth insights and practical guidance on designing data-intensive applications that are not only reliable but also scalable and maintainable. A valuable resource for anyone seeking to deepen their understanding of big data and the challenges of building complex systems.