Operational Database Management Systems
Heuristics for a Data Scientist: A common sense approach. BY Silvia Dassiè, Data Scientist at Ryanair. The first time I encountered the word Data Science and what it promised to be, I was completely...
A Glimpse into U-SQL BY Stephen Dillon | Schneider Electric| Global Solutions|Engineering Fellow | Data Architect I recently had the opportunity to explore “U-SQL” which is Microsoft’s latest query language bundled with Azure Data...
How can Open Data help to solve long-standing problems in agriculture and nutrition? BY Andrea Powell, CIO, CABI Good question. The planet’s resources are under growing pressure to provide food, fuel, fodder and fibre...
If Data is King and Context is Queen then Culture is the Throne BY Yuval Dvir, Strategy Head, Global Product Operations, Google. The King In the information economy we are in, it is clear that data is...
Looking back at Big Data in 2015 By Cynthia M. Saracco, IBM Senior Solution Architect As 2015 draws to a close, I find myself occasionally looking back at the year’s highlights and reflecting on...
On Political Economy and Data Science: When A Discipline Is Not Enough By Michael L. Brodie, CSAIL, MIT – originally published in kdnuggets– When I was an undergraduate student at Trinity College, Toronto (much...
Big Data & Analytics versus Teenage Sex By Bart Baesens, Wilfried Lemahieu, Monique Snoeck, KU Leuven Big data & Analytics: terms that frequently pop up in newspapers, magazines, airports or even during pub chats to...
Unicorns Live in Venn Diagrams: What to Expect from Data Science for Healthcare, and What is Missed When Too Much is Expected Oleg Roderick, Ph.D. and Nicholas Marko, MD Geisinger Medical Center, Danville, PA...
The rise of immutable data stores Some innovators are abandoning long-held database principles. Why? By Alan Morrison, Senior Manager, PwC Center for technology and innovation (CTI) Originally published at PwC web site. The website for Room...
“We Can’t Rely on Machines” Michael L. Brodie, Research Scientist at the Massachusetts Institute of Technology (MIT), is convinced that Big Data has more potential than the hype suggests, but -also more risks. An...