27 February, 2014
There’s a lot of confusing jargon and buzzwords in this new field. It helps to know who some of the major players are and…
Publication: Data Science Central
24 February, 2014
A question I receive quite a bit from people who are newly introduced to NoSQL platforms and the overall concept of multi-structured data sets…
Publication: Information Management
18 August, 2014
Big Data isn’t just Hadoop and in-memory anymore. Big data technologies and tools have grown significantly over the past few years — so much so that it’s hard to keep up with them.
If you’d like to get up to snuff and are primarily interested in open…
31 July, 2014
Many Hadoop experts believe an integrated data warehouse (IDW) is simply a huge pile of data. However, data volume has nothing to do with what makes a data warehouse. An IDW is a design pattern, an architecture for an analytics environment. First defined by Barry Devlin in 1988, the architecture…
Publication: Data Informed
28 July, 2014
As Big Data continues to reach larger enterprise adoption, the programming languages that support writing schema and producing Big Data analysis algorithms will rush to keep up. As a result, the open source statistical language R has become a go-to skill for Big Data scientists and developers, with its…
18 July, 2014
Hadoop has made plenty of headlines in recent years, but some people are still looking for more signs that enterprise Hadoop has happened. That odd juxtaposition of Hadoop hopes and enterprise pragmatism is not lost on Tom Davenport.
“I am the token East Coast representative,” he joked to the westward…
16 July, 2014
The terms “burning fire,” “advance planning,” “all together” and “invited guests” are all pleonasms. A pleonasm is an excessive use of words or redundant phrasing. We can add another one that has evolved over the past few years: “logical data warehouse.” It qualifies as a pleonasm because present-day data…
27 June, 2014
Among the bustling world of technology, Big Data has clearly created a buzz. While IT providers are adding the Big Data lever into their marketing campaigns, user organizations are applying it to very specific areas of scale and analysis. The best part is that it is not only for the…
22 May, 2014
According to Weisensee et al., Data warehouse architecture follows following principles:
Publication: Data Science Central
21 May, 2014
A month into its new life as a public company, Sabre is unveiling some new services to raise its profile with developers in a bid to grow its business through third parties.
Today the travel data company is launching a new portal, the Sabre Dev Studio, which gives access to…
20 May, 2014
The National Security Agency has been in the business of collecting information for a long time, but technological advancements over the past decade are the primary driver of the intelligence community’s ability to collect data on the grandest scales.
That those advancements continue to evolve at a frenetic pace…
Publication: Defense One
12 May, 2014
In high-performance computing (HPC) and other big-data environments, success depends on the speed at which data is acquired, processed, and distributed. These environments use staggering amounts of data that can cripple most storage systems and break traditional architectures. For these sites, the ability to keep a system up…