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Balance Your Supply Chain with Big Data
NOW, let us bring Big Data into the picture and see how this outlook changes. A Big Data problem exists if data Volume, Velocity and Variety become difficult or impossible to store, process, and analyze using traditional technology and methods. With Big Data technologies, the capability to find answers faster and cheaper has grown exponentially.
Uploaded by bodhtree on 12/10/2012
Digital publication details: 7 pages.

Big Data Innovation, Issue 2
In this issue we look at the most innovative and engaging ideas affecting those working within big data and analytics
Uploaded by ieg. on 05/07/2013
Digital publication details: 24 pages.

Big Data Market - Global Scenario, Trends, Industry Analysis, Size,Growth - 2018
The humungous amount of data generated across various sectors is termed as big data. The exponential growth in the quantum of big data is leading to the development of advanced technology and tools that can manage and analyze this data. Hadoop technology is used by Yahoo, Facebook, LinkedIn and eBay among others to manage and analyze the big data. This study will provide complete insights of the Big Data market and explain about the current trends and factors responsible for driving market growth. Sourse:
Uploaded by jamesmartin19 on 02/10/2013
Digital publication details: 8 pages.

Six Step approach to identify a Big data problem and choose the right Solution
Many have heard the dire predictions about the state of information technology with 10x data growth projections over the coming years. While there is truth to the exploding growth rate of data and the accompanying complexity of analysis, we have faced similar exponential growth in data over reach of the most recent decades; and every time, technology has risen to the challenge and delivered needed capacity for business, governments and individual users. For parallels we need only look to distributed computing in the 1990s and websites in the 2000s.
Uploaded by bodhtree on 09/08/2012
Digital publication details: 12 pages.

DC Big Data Exploration Final Report
More than 150 topic experts, data scientists, civic "hackers," civil society groups and development practitioners gathered at the World Bank on March 15-17, 2013 for the DC Big Data Exploration event. Working alongside Bank experts on the Poverty and Fraud & Corruption teams, data scientists uncovered new ways of collecting, exploring, and visualizing data to maximize their impact. The collaboration between the two communities yielded new insights from World Bank data, devised new ways of using existing big data sources for monitoring poverty and corruption, and created entirely new streams of data that the Bank and its partners can use in future research.
Uploaded by on 05/12/2013
Digital publication details: 55 pages.

Considerations for the Adoption of Cloud-based Big Data Analytics in Small Business Enterprises
This study explores the various adoption criteria that may guide the information technology (IT) professionals in small business enterprises (SBEs) in their decision to adopt cloud-based big data analytics (CBBDA). The research was guided by three major theories of technology adoption, which were: diffusion of innovation, theory of technology acceptance model, and the theory of technology-organization-environment framework. The study was based on a sample of 20 IT professionals from10 SBEs in the state of New Jersey in the United States. The exploratory qualitative research used semi-structure questionnaires to conduct one-on-one interviews with the participants. The results were coded to identify the emergent themes. The study found two categories of CBBDA adoption criteria; they were: (a) internal technology adoption criteria, which were found to be unique to each SBE and (b) external technology adoption criteria, which were found to be uniform to all the SBEs. The internal...
Uploaded by on 02/04/2019
Digital publication details: 17 pages.

Big Data Innovation
The Big Data Innovation Magazine.
Uploaded by innovationenterprise on 12/17/2012
Digital publication details: 14 pages.

Big Data and Knowledge Management: Establishing a Conceptual Foundation
Abstract: The fields of knowledge management and intellectual capital have always distinguished between data, information, and knowledge. One of the basic concepts of the field is that knowledge goes beyond a mere collection of data or information, incl uding know-how based on some degree of reflection. Another core idea is that intellectual capital, as a field, deals with valuable organizational assets which, while not formal enough to rate a designation as intellectual property, still deserve the atte ntion of managers. Intellectual capital is valuable enough to be identified, managed, and protected, perhaps granting competitive advantage in the marketplace. So what do we make of current trends related to big data, business intelligence, business anal ytics, cloud computing, and related topics? Organizations are finding value in basic data and information as well. How does this trend square with the way we conceptualize intellectual capital and value it? This paper will work...
Uploaded by on 09/28/2014
Digital publication details: 9 pages.

Why Big Data is Next Big Thing?
With increasing amount of data and the collection of the same, big data is getting a lot of attention in United States. Here in this infographics, we have compared the major demand of big data related information. We have compared the growth in search of big data related keyword from different parts of United States.Not only this, we also have a range of big data related terms which people are looking from Colorado, Washington, Maryland, Virginia, Massachusetts, Illinois. source:-
Uploaded by venturehire on 05/20/2013
Digital publication details: 2 pages.
Tags: big data · database · hadoop · java

Customer Analytics: Turn Big Data into Big Value
Turn Big Data into Big Value
Uploaded by quite4me on 04/14/2013
Digital publication details: 25 pages.
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