Roman Shaposhnik; Claudio Martella; Dionysios Logo Practical Graph Analytics with Apache Giraph 9781484212523

Варианты приобретения

Цена: 6288.00р.
Кол-во:
Наличие: Поставка под заказ. Есть в наличии на складе поставщика.
Склад Америка: Есть
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
При условии наличия книги у поставщика.

Добавить в корзину

в Мои желания

Автор: Roman Shaposhnik; Claudio Martella; Dionysios Logo
Название: Practical Graph Analytics with Apache Giraph
ISBN: 9781484212523
Издательство: Springer
Классификация:

Науки о жизни (медико-биологические): общие вопросы

Парадигмы программирования / Обучение программированию

Технология разработки программного обеспечения

Искусственный интеллект

ISBN-10: 1484212525
Обложка/Формат: Paperback
Страницы: 315
Вес: 0.59 кг.
Дата издания: 29.10.2015
Язык: English
Издание: 1st ed.
Иллюстрации: 104 illustrations, black and white; xix, 315 p. 104 illus.
Размер: 254 x 178 x 18
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: Practical Graph Analytics with Apache Giraph helps you build data mining and machine learning applications using the Apache Foundation’s Giraph framework for graph processing. This is the same framework as used by Facebook, Google, and other social media analytics operations to derive business value from vast amounts of interconnected data points. Graphs arise in a wealth of data scenarios and describe the connections that are naturally formed in both digital and real worlds. Examples of such connections abound in online social networks such as Facebook and Twitter, among users who rate movies from services like Netflix and Amazon Prime, and are useful even in the context of biological networks for scientific research. Whether in the context of business or science, viewing data as connected adds value by increasing the amount of information available to be drawn from that data and put to use in generating new revenue or scientific opportunities. Apache Giraph offers a simple yet flexible programming model targeted to graph algorithms and designed to scale easily to accommodate massive amounts of data. Originally developed at Yahoo!, Giraph is now a top top-level project at the Apache Foundation, and it enlists contributors from companies such as Facebook, LinkedIn, and Twitter. Practical Graph Analytics with Apache Giraph brings the power of Apache Giraph to you, showing how to harness the power of graph processing for your own data by building sophisticated graph analytics applications using the very same framework that is relied upon by some of the largest players in the industry today.

Practical Graph Analytics with Apache Giraph, Roman Shaposhnik; Claudio Martella; Dionysios Logo