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Designing data-intensive applications : the big ideas behind reliable, scalable, and maintainable systems / Martin Kleppmann.

Por: Tipo de material: TextoTextoEditor: Sebastopol, CA : O'Reilly Media, 2017Fecha de copyright: ©2017Edición: First editionDescripción: xix, 590 páginas : ilustraciones ; 24 cmTipo de contenido:
  • texto
Tipo de medio:
  • sin mediación
Tipo de soporte:
  • volumen
ISBN:
  • 9781449373320
  • 1449373321
Tema(s): Clasificación LoC:
  • QA 76.76.A65 K54.2017
Contenidos:
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.
Resumen: 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.
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Tipo de ítem Biblioteca actual Colección Signatura topográfica Copia número Estado Fecha de vencimiento Código de barras
Libros Biblioteca Francisco Xavier Clavigero Acervo Acervo General QA 76.76.A65 K54.2017 (Navegar estantería(Abre debajo)) ej. 1 Disponible uia197466
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Incluye índice.

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.

Incluye referencias bibliográficas e índice.