Imagen de Portada

Big Data. Principles and best practices of scalable realtime data systems

  • Autor: Marz; Nathan; Warren, James
  • Editorial: Manning Publications

0

Pendiente de reposición  

Sin precio

Actualmente no disponemos de este material en nuestro almacén. Si desea que le informemos cuando haya sido repuesto, introduzca su dirección de correo electrónico en la casilla correspondiente y pulse en el botón Me Interesa. Muchas Gracias.
Dirección de correo electronico: Política de Privacidad

Reseña

Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Book

Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive.

Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases.

This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful.

What's Inside
•Introduction to big data systems
•Real-time processing of web-scale data
•Tools like Hadoop, Cassandra, and Storm
•Extensions to traditional database skills

Detalles

  • Nº de edición:
  • Año de edición: 2015
  • Número de reimpresión:
  • Año de reimpresión: 0
  • Lugar: INGLATERRA
  • Dimensiones:
  • Páginas: 328
  • Soporte:
  • ISBN: 9781617290343

Recomendar a un amigo

Si deseas recomendar este material a un amigo, escribe tu nombre y su dirección de correo electrónico.
Tu nombre: Su e-mail:

Icono de alerta Las cookies nos permiten ofrecer nuestros servicios. Al navegar por LibrosUNED.com, consideramos que acepta el uso que hacemos de ellas.
Puede cambiar la configuración de cookies en cualquier momento. Para más información, puede consultar nuestro documento de politica de cookies

Cerrar