Designing Data-Intensive Applications
The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
No se ha podido añadir a la cesta
Error al eliminar la lista de deseos.
Se ha producido un error al añadirlo a la biblioteca
Se ha producido un error al seguir el podcast
Error al dejar de seguir el podcast
Escúchalo ahora gratis con tu suscripción a Audible
Compra ahora por 44,99 €
No se ha seleccionado ningún método de pago predeterminado.
We are sorry. We are not allowed to sell this product with the selected payment method
-
Narrado por:
-
Benjamin Lange
-
De:
-
Martin Kleppmann
Acerca de este título
Newly adapted for audiobook listeners.
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 relational databases, NoSQL datastores, stream or batch processors, and message brokers. 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. Software keeps changing, but the fundamental principles remain the same. 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.
Peer under the hood of the systems you already use, and learn how to use and operate them more effectively.
Make informed decisions by identifying the strengths and weaknesses of different tools.
Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity.
Understand the distributed systems research upon which modern databases are built.
Peek behind the scenes of major online services, and learn from their architectures.
©2017 Martin Kleppmann (P)2021 Upfront Books