Operational Database Management Systems
Christopher Surdak, JD Technology Evangelist, Award-Winning Author, Engineer, Data Scientist, Rocket Scientist, and Global Expert in Information Governance, Analytics, Privacy Policy, Social Media and eDiscovery Christopher Surdak is an industry-recognized expert in Collaboration and...
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,...
Pivotal For Good with Crisis Text Line: A First Look Post by Noelle Sio, DataKind Data Ambassador and Principal Data Scientist at Pivotal Note: This post originally appeared on Pivotal’s blog on January 13 2015. A...
Sharing data to learn about homelessness St Mungo’s Broadway Note: This post originally appeared on DataKind’s blog . Question Charities often sit atop a mountain of data. Imagine what we could achieve if social...
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...
Jake Porway, DataKind Founder and Executive Director. Jake Porway is a machine learning and technology enthusiast who loves nothing more than seeing good values in data. He is the founder and executive director of...
Will Data Lakes turn into Data Swamps or Data Reservoirs? By Jerry Held, Tamr Welcome to Data Lakes, one of the more unlikely sources of controversy we’ve run across this year. Gartner kicked off the hullabaloo in...
Big Data is in its infancy and is opening the door to grand opportunities and challenges in Data Science. We know that the data science tools and techniques being developed have enormous power....
Evaluating Learning Algorithms A Classification Perspective AUTHORS: Nathalie Japkowicz, University of Ottawa Mohak Shah, McGill University, Montréal DATE PUBLISHED: June 2014 AVAILABILITY: Available FORMAT: Paperback ISBN: 9781107653115 The field of machine learning has matured to the point where many...
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...