Автор: Burkhard Monien; Robert Cori Название: STACS 89 ISBN: 3540508406 ISBN-13(EAN): 9783540508403 Издательство: Springer Рейтинг: Цена: 81050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume contains the presentations of the Sixth Symposium on Theoretical Aspects of Computer Science (STACS 89) held at the University of Paderborn, February 16-18, 1989.
Автор: Afonso Ferreira; Horst Reichel Название: STACS 2001 ISBN: 3540416951 ISBN-13(EAN): 9783540416951 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This work constitutes the refereed proceedings of the 18th Annual Symposium on Theoretical Aspects of Computer Science, Dresden, Germany, February 15-17th, 2001. The papers address foundational aspects of theoretical computer science such as algorithms, data structures, and automata.
Автор: K. Mehlhorn Название: STACS 85 ISBN: 3540139125 ISBN-13(EAN): 9783540139126 Издательство: Springer Рейтинг: Цена: 32600.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Mike Frampton Название: Complete Guide to Open Source Big Data Stack ISBN: 1484221486 ISBN-13(EAN): 9781484221488 Издательство: Springer Рейтинг: Цена: 41920.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
See a big data stack created and the components used. You will use currently available Apache full and incubating systems. The components are introduced by example and you learn how they work together.
This book describes the creation of an actual generic open source big data stack, which is an integrated stack of big data components, each of which serves a specific function such as storage, resource management, or queueing. Each component has a big data heritage and community to support it. Components can support big data in that they are able to scale, and are distributed and robust systems.
In the Complete Guide to Open Source Big Data Stack, Mike Frampton begins by creating a private cloud and then by installing and examining Apache Brooklyn. After that he uses each chapter to introduce one piece of the big data stack--sharing how to source the software and then how to install it. He shows you how it works by simple example, step by step and chapter by chapter, and creates a real big data stack. The book concentrates on Apache-based systems and shares detailed examples of cloud storage, release management, resources management, processing, queuing, frameworks, data visualization, and more.
What You'll Learn
Install a private cloud onto the local cluster using Apache cloud stack
Source, install, and configure Apache: Brooklyn, Kafka, Mesos, and Zeppelin
See how Brooklyn can be used to install Hadoop, Cassandra, and Riak, and how data can be moved
Use Apache Spark for big data stack data processing
Who This Book Is For
Developers, architects, IT project managers, database administrators, and others charged with developing or supporting a big data system. It is also for a general IT audience, anyone interested in Hadoop or big data, and those experiencing problems with data size. It is also for anyone who would like to further their career in this area by adding big data skills.
Казахстан, 010000 г. Астана, проспект Туран 43/5, НП2 (офис 2) ТОО "Логобук" Тел:+7 707 857-29-98 ,+7(7172) 65-23-70 www.logobook.kz
