Book

Complete guide to open source big data stack

Frampton, Mike, author

Overview

\"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 like storage, resource management, or queueing. Each component has a big data heritage and community to support it. It can support big data in that it is able to scale, and it is a distributed and robust system. In the Complete Guide to Open Source Big Data Stack, New Zealand author, Mike Frampton, begins by creating a private cloud and then by installing and examining Apache Brooklyn. After that he will use each chapter to introduce one piece of the big data stack-sharing how to source the software and then how to install it. He will then show how it works by simple example. Step by step and chapter by chapter, Frampton will create a real big data stack. The goal of this book is to show how a big data stack might be created and what components might be used. It attempts to do this with currently available Apache full and incubating systems. The aim is to introduce these components by example and show how they might work together. 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.\"-- Provided by publisher.

• Publisher: Apress
• Subject: Big data. / Computer science. / Data structures (Computer science) / Database management. / COMPUTERS / Data Modeling & Design. / COMPUTERS / Databases.
• ISBN: 1484221486, 9781484221488

Item info:

1 item available

1 item total in all locations

Holdings :

Call Number	Copies	Material	Location
QA76.9.B45 F73 2018	1	BOOK	AUTOSTORE