Designing data-intensive applications : the big ideas behind reliable, scalable, and maintainable systems /
Martin Kleppmann.
- First edition.
- xix, 590 páginas : ilustraciones
Incluye indice
Part 1. Foundations of data systems. Reliable, scalable, and maintainable applications -- Data models and query languages -- Storage and retrieval -- Encoding and evolutuion -- Part 2. Distributed data. Replication -- Partitioning -- Transactions -- The trouble with distributed systems -- Consistency and consensus -- Part 3. Derived data. Batch processing -- Stream processing -- The future of data systems.
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 mainteinability. In addition, we have an overwhelming variet 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 gjuide, 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.
COBERTURA BIBLIOGRÁFICA:
INF-356 (Ingeniería Civil Informática)
ASIGNATURA :
Computación Distribuida para Big Data
9781449373320 1449373321
DESARROLLO DE SITIOS WEB SOFTWARE DE APLICACION--DESARROLLO ADMINISTRACION DE BASES DE DATOS