Operational Database Management Systems
The PoliTwi project: Detection of emerging political topics in Twitter By Sven Rill, Hof University of Applied Science. The impact of social networks like Twitter has increased over the past few years, especially in...
Agile Analytics By Michael Blaha, — March 2015 We define agile analytics as the iterative and rapid processing of data for decision support. There is minimal upfront investment. Developers instead process source data and...
News headlines & the semantic web BY Chris Blatchford, Platform Group, Thomson Reuters The subject of my recent thesis was focused on news headline development, specifically looking at ‘best practice’ elements which form an objective, relevant, descriptive...
BCBS 239: The What, When, Why, Who, Where and How By Rupert Brown,CTO:-Financial Services, MarkLogic Corporation Originally published on MarkLogic web site. Introduction In the January 2015 BIS BCBS239 Adoption progress report it was stated that “compliance with Principle 2 (data architecture/IT infrastructure) was rated...
Big Data Meets Fine Art by Thanigai Vellore, Enterprise Architect, Art.com “Great things are done by a series of small things brought together” – This famous quote by Vincent Van Gogh reflects what’s happening at art.com,...
Big Data and Large Numbers of People: the Need for Group Privacy by Prof. Luciano Floridi, Oxford Internet Institute, University of Oxford, 1 St Giles, Oxford, OX1 3JS, United Kingdom; luciano.floridi@oii.ox.ac.uk One of the...
Data Security Isn’t Just IT’s Responsibility By Tamara Dull, Director of Emerging Technologies ▪ SAS Best Practices What does the IRS, Home Depot, Sony, Anthem, and Uber have in common? These organizations, among countless others,...
China released its first industry-standard big data benchmark suite By Jianfeng Zhan,Professor of Computer Science and Engineering at Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences. Recently,...
Data Science for the Social sector. By Brian Dalessandro, DataKind Data Ambassador and Jake Porway, DataKind Founder and Executive Director . At DataKind, we see countless opportunities for data science to make a huge difference...
Monetizing Big Data. By Patrick Schwerdtfeger. The key to monetizing ‘Big Data’ is in its predictive capacity. If you can predict an outcome before it takes place, there’s value in that. In what circumstances...