Designing Data-intensive Applications: The Big Ideas Behind
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Características del producto
Características principales
Título del libro | Designing Data-Intensive Applications |
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Autor | Martin Kleppmann |
Idioma | Inglés |
Editorial del libro | O'Reilly Media, Inc, USA |
Edición del libro | 1 |
Tapa del libro | Blanda |
Con índice | Sí |
Año de publicación | 2017 |
Marca | O'Reilly Media |
Modelo | 9781449373320 |
Otras características
Altura | 5 cm |
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Ancho | 22 cm |
Peso | 1 kg |
Con realidad aumentada | No |
Descripción
PRODUCTO:
Nombre: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Sys
Marca: O'Reilly Media
DESCRIPCIÓN:
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 Biografía del autor Martin is a researcher in distributed systems at the University of Cambridge. Previously he was a software engineer and entrepreneur at Internet companies including LinkedIn and Rapportive, where he worked on large-scale data infrastructure. In the process he learned a few things the hard way, and he hopes this book will save you from repeating the same mistakes. Martin is a regular conference speaker, blogger, and open source contributor. He believes that profound technical ideas should be accessible to everyone, and that deeper understanding will help us develop better software.
CARACTERÍSTICAS PRINCIPALES:
-Idioma: Inglés
-Autor: Kleppmann, Martin
-Editorial: O'Reilly Media
-N° Paginas: 611
-Tipo de pasta: Pasta blanda
-Envío: Desde EE.UU.
MÁS DETALLES:
Tiempo de entrega: 10 días
Peso del paquete: 1 kg
Medidas: 5 cm x 22 cm x 27 cm cm
Material: Papel
Modelo: 9781449373320
Meses de garantía: 1
Garantía: Por defectos de fabricación
Condición: Nuevo
Color: Multicolor
Nombre de color: Multicolor
ASIN: 1449373321
País de producción: United States
Encuadernado: Pasta blanda
Editorial: O'Reilly Media
Titulo del libro: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (Libro en Inglés)
Autor: Kleppmann, Martin
Fecha de publicación: 2017
Idioma: Inglés
Edición: 1
Número de páginas: 611
ISBN-13: 9781449373320
Edad mínima sugerida: 6
Contenido del paquete: 1 pieza
SKU: 9781449373320
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