Twitter has pulled the plug on its data feed ecosystem by revoking access of its syndicated data feed of all tweets generated throughout the microblogging site, collectively called the ‘Firehose,’ to all partnered third parties. The move comes as a followup to its acquisition of the social media API aggregation

Our hyper-networked society is producing data at an ever increasing rate. According to IBM research, more than 2.5 quintillion bytes of data are created each day; and more than 90 percent of the world’s stored data was created in the last two years alone. Analyst firm IDC estimates that the

Heatmaps are now becoming a popular visualization technology used outside the fence of data science. They can be used, for example, to produce an overlay on a webpage to let web site administrators easily understand which parts of the site are most interesting (application examples can be found at https://heatmap.me).

The National Collegiate Athletic Association’s Basketball Tournament, branded the March Madness has been raising a social media storm through last month. One startup (amongst many peers), has been providing tools to gauge and provide actionable data to marketers throughout the event. Cross-channel analytics provider Origami Logic found that although Twitter

Meteor, the open-source Javascript platform for building web apps, rolled out its latest offering last week. Adding to its previous availability for OS X and Linux, Meteor 1.1 offers development on Windows and support for MongoDB’s new 3.0 database engine. The new release adds support for developing applications software on

A recent paper published by GfK sheds light on the state of the audience data market, and outlines a clear direction for the future of data in an internet-enabled TV world, while exploring the benefits of Big Data for broadcast. GfK, the Society for Consumer Research) Germany’s largest market research

Sisense, the business analytics software company that offers business intelligence products has revealed in a new study, an increase in “confidence” in the UK tech sector through 2014. Analyses of a decade worth of startup data on 12,000 UK companies against data on approximately 300,000 companies in the CrunchBase database

Through my work with customers and data scientists building predictive applications based on the Blue Yonder Platform and integrating our standard products, such as Forward Demand, into customer workflows, I’ve encountered a few common prediction pitfalls. While these might not ruin the scientific validity of the model, they may affect

To combat the impending dearth of skilled data scientists and analysts the University of Rochester, New York has set up the Institute for Data Science (IDS). The New York State recently provided support to create a new Rochester Center of Excellence in Data Science (CoE) at the University which, will

TOP DATACONOMY ARTICLES 14 Best Python Pandas Features “Pandas is the most widely used tool for data munging. It contains high-level data structures and manipulation tools designed to make data analysis fast and easy. Apart from serving as a quick reference, I hope this post will help you to quickly