While the field of data science is not tied directly to Big Data, advances in one tends to produce advances in the other. Big Data increases our ability to harvest and process data, while data science allows us to dig into it for insights.
Representatives from the Punjab Information Technology Board have spoken about their unlikely secret weapon in the fight against dengue fever; mobile phones. Dengue fever is an international blight. Over 100 million people catch the mosquito-borne disease each year. It’s been nicknamed “breakbone fever”, due to the horrific pain it inflicts
The on-going Big Data media hype stirs up a lot of passionate voices. There are naysayers (“it is nothing new“), doomsayers (“it will disrupt everything”), and soothsayers (e.g., Predictive Analytics experts). The naysayers are most bothersome, in my humble opinion. (Note: I amnot talking about skeptics, whom we definitely and desperately need during any period of maximized
Kickstarter is using big data to simplify its approval policy for new campaigns. As well as shortening its list of rules and requirements, the Kickstarter team have announced the beginning of ‘Launch Now’ button, bypassing the human approval round normally required to launch a Kickstarter campaign. Instead, illegal and ill-thought-out
Gerrymandering in the US is a serious issue. The Washington Post estimates that as a result of gerrymandering, the Democrats under-represented by about 18 seats in the House, relative to their vote share in the 2012 election. Brian Olson, a software engineer from Massachusetts, has devised a programme which works
For the uninitiated, the Big Data landscape can be daunting. The vast proliferation of technologies in this competitive market mean there’s no single go-to solution when you begin to build your Big Data architecture. In this series of articles, we will examine the Big Data ecosystem, and the multivarious technologies
This article was first posted by Carla Gentry here. Carla is currently owner and data scientist at Analytical Solution.She has worked in the field of data science for over 15 years, and has worked for Fortune 100 and 500 companies such as Johnson & Johnson, Hershey, Kraft, Kellogg’s and Firestone.
Whether you like it or not, the gender gap is still a pressing social issue. We live in an age moving towards gender equality, but where it is still not realised. Many say that need that the need for feminism has passed, and that gender equality is a reality in
It’s a movie trope as old as cinema. A heated chase scene ends as the bad guy seamlessly blends into a crowd, pulling up his collar, safe in a swarm of people. But thanks to researchers at the Spanish National Research Council (CSIC), this scene may have a different ending;
With all of the discussion about Big Data these days, there is frequest reference to the 3 V’s that represent the top big data challenges: Volume, Velocity, and Variety. These 3 V’s generally refer to the size of the dataset (Volume), the rate at which data is flowing into (or out
We met up with Klaas Bollhoefer in Berlin. Klaas works as a Data Scientist & Big Data Evangelist with The unbelievable Machine Company GmbH. He is father of the Data Science Day (DSDay), coordinator of the Big Data Week 2013 in Berlin, member of several program committees for Big Data