Disruptive Possibilities: How Big Data Changes Everything Disruptive Possibilities: How Big Data Changes Everything

Disruptive Possibilities: How Big Data Changes Everything

    • €22.99
    • €22.99

Publisher Description

Big data has more disruptive potential than any information technology developed in the past 40 years. As author Jeffrey Needham points out in this revealing book, big data can provide unprecedented visibility into the operational efficiency of enterprises and agencies.

Disruptive Possibilities provides an historically-informed overview through a wide range of topics, from the evolution of commodity supercomputing and the simplicity of big data technology, to the ways conventional clouds differ from Hadoop analytics clouds. This relentlessly innovative form of computing will soon become standard practice for organizations of any size attempting to derive insight from the tsunami of data engulfing them.

Replacing legacy silos—whether they’re infrastructure, organizational, or vendor silos—with a platform-centric perspective is just one of the big stories of big data. To reap maximum value from the myriad forms of data, organizations and vendors will have to adopt highly collaborative habits and methodologies.

GENRE
Computing & Internet
RELEASED
2013
6 May
LANGUAGE
EN
English
LENGTH
94
Pages
PUBLISHER
O'Reilly Media
PROVIDER INFO
OREILLY MEDIA INC
SIZE
3.2
MB
Real-Time Big Data Analytics: Emerging Architecture Real-Time Big Data Analytics: Emerging Architecture
2013
Antifragile Systems and Teams Antifragile Systems and Teams
2014
Designing the Internet of Things Designing the Internet of Things
2013
Computer Science Made Simple Computer Science Made Simple
2005
Software Engineering at Google Software Engineering at Google
2020
The Black Book of Agile Project Delivery with Distributed Teams The Black Book of Agile Project Delivery with Distributed Teams
2011
Planning for Big Data Planning for Big Data
2012
The Culture of Big Data The Culture of Big Data
2013
Big Data Now: 2012 Edition Big Data Now: 2012 Edition
2012
Analyzing the Analyzers Analyzing the Analyzers
2013
The Evolution of Data Products The Evolution of Data Products
2011
Real-Time Big Data Analytics: Emerging Architecture Real-Time Big Data Analytics: Emerging Architecture
2013