Name: Getting Started With Storm: Continuous Streaming Computation With Twitter's Cluster Technology (en Inglés)
Price: 113.98 PEN
Availability: InStock
Author: Jonathan Leibiusky; Gabriel Eisbruch; Dario Simonassi
ISBN: 9781449324018

portada Getting Started With Storm: Continuous Streaming Computation With Twitter's Cluster Technology (en Inglés)

Formato

Libro Físico

Editorial

O'reilly Media

Autor

Jonathan Leibiusky; Gabriel Eisbruch; Dario Simonassi

Año

2012

Idioma

Inglés

N° páginas

103

Encuadernación

Tapa Blanda

ISBN

1449324010

ISBN13

9781449324018

N° edición

Categorías

Data warehousing

Getting Started With Storm: Continuous Streaming Computation With Twitter's Cluster Technology (en Inglés)

Jonathan Leibiusky; Gabriel Eisbruch; Dario Simonassi (Autor) · O'reilly Media · Tapa Blanda

Libro Nuevo

S/ 113,98

S/ 227,96

Ahorras: S/ 113,98

50% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Jueves 30 de Mayo y el Jueves 13 de Junio.

Lo recibirás en cualquier lugar de Perú entre 2 y 5 días hábiles luego del envío.

Reseña del libro "Getting Started With Storm: Continuous Streaming Computation With Twitter's Cluster Technology (en Inglés)"

Even as big data is turning the world upside down, the next phase of the revolution is already taking shape: real-time data analysis. This hands-on guide introduces you to Storm, a distributed, JVM-based system for processing streaming data. Through simple tutorials, sample Java code, and a complete real-world scenario, you’ll learn how to build fast, fault-tolerant solutions that process results as soon as the data arrives.Discover how easy it is to set up Storm clusters for solving various problems, including continuous data computation, distributed remote procedure calls, and data stream processing.Learn how to program Storm components: spouts for data input and bolts for data transformationDiscover how data is exchanged between spouts and bolts in a Storm topologyMake spouts fault-tolerant with several commonly used design strategiesExplore bolts—their life cycle, strategies for design, and ways to implement themScale your solution by defining each component’s level of parallelismStudy a real-time web analytics system built with Node.js, a Redis server, and a Storm topologyWrite spouts and bolts with non-JVM languages such as Python, Ruby, and Javascript