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

Por:

Kleppmann, Martin

Tipo de material: Texto

TextoEditor: Boston : O'Reilly Media, 2019Edición: Primera edición, séptima reimpresiónDescripción: xix, 590 páginas : ilustraciones, gráficos ; 24 cmTipo de contenido:

texto

Tipo de medio:

no mediado

Tipo de soporte:

volumen

ISBN:

9781449373320

Tema(s):

Clasificación CDD:

005.7 K649d 2019

Contenidos parciales:

Foundations of data systems - Reliable, scalable, and maintainable applications - Data models and query languages - Storage and retrieval - Encoding and evolution - Distributed data. Replication - Partitioning - Transactions - The trouble with distributed systems - Consistency and consensus - 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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Existencias
Tipo de ítem	Biblioteca actual	Signatura	Copia número	Estado	Fecha de vencimiento	Código de barras
Libro	Miguel de Cervantes Sala general	005.7 K649d 2019 (Navegar estantería(Abre debajo))	Ej.1	Disponible		00015672

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Includes índice

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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