GE and Our Startup Ecosystem
GE and Our Startup Ecosystem Posted on Friday, January 15th, 2016 at 11:57 AM. Written by Nidhi Aggarwal, Tamr GE’s move has us excited on a number of levels. For our business, a key Tamr customer is moving...
Operational Database Management Systems
GE and Our Startup Ecosystem Posted on Friday, January 15th, 2016 at 11:57 AM. Written by Nidhi Aggarwal, Tamr GE’s move has us excited on a number of levels. For our business, a key Tamr customer is moving...
Gartner Magic Quadrant for Business Intelligence and Analytics Platforms Report. 04 February 2016 | ID:G00275847 Analyst(s): Josh Parenteau, Rita L. Sallam, Cindi Howson, Joao Tapadinhas, Kurt Schlegel, Thomas W. Oestreich Summary The BI and analytics platform market’s multiyear shift...
What’s in store for Big Data analytics in 2016 Steve Sarsfield, Hewlett Packard Enterprise. – originally published in the Hewlett Packard Enterprise web site. It’s the time of year again for predictions on all sorts of topics. ...
How to choose a predictive algorithm. By MICHAEL BOWLES. You have to build a system for making predictions (which customers are going to leave, what ad will get clicked, which claims are fraudulent) based on...
RIP Big Data By Carl Olofson, Research Vice President, Data Management Software Research, IDC When the design of computers and networks reached a critical state in terms of memory size, processor capacity, and speed of inter-system communication,...
ODBMS.org Q&A with Shawn Rogers, Chief Research Officer, Dell Statistica: 2016 Analytics Predictions “A ‘citizen data scientist’ is an everyday, non-technical user that lacks the statistical and analytical prowess of a traditional data scientist,...
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...
Uplevel Big Data Analytics with Graph in Vertica – Part 5: Putting graph to work for your business By Walter Maguire, Chief Field Technologist , HP Big Data Group When I originally started this graph series, I...
Dear Colleagues, We are reaching out to you to ask for your support for this initiative. We feel the need to link together people who share the common motivation of using Data for the...
“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...