This morning Google Cloud announced the upcoming availability of powerful, innovative GPU instances. As a an beta tester of the new offering we had the opportunity to take the instances for a spin and test them out against the 1.2 billion row taxi dataset.
A common question faced in the petabyte economy is when, and how, to embrace a distributed, scale out architecture. I will argue here that it makes sense to push for the simplest and cheapest solution that will solve the problem.
What is obscured in the vitriol, the accusations and the gaffes, however, is that money still fuels the American political process. Despite the emergence of a billionaire candidate, this cycle is no different - the money is as prevalent as ever.
The Finovate show one of the best, most dangerous shows in any industry and is the crown jewel of the FinTech event calendar. Its one of the best because of its rigorous selection process coupled with a hyper-engaged, highly informed audience.
Today we are pleased to announce that In-Q-Tel, the non-profit strategic investor that identifies innovative technology for the U.S. Intelligence Community, participated in our previously announced Series A round.
With the latest addition to our public demos, we have the absolutely spectacular 1.2 billion row taxi/limo/uber/lyft dataset from NYC. The dataset is comprised of staggering detail (full GPS, transaction type, passenger counts, timestamps) from January 2009 through June 2015 (essentially the birth of rideshare).
The old cliché that records are meant to be broken certainly applies to the tech industry. They‘re milestones that reset the bar for what’s possible but more importantly serve as a barometer of where things are headed.
The rise of modern business intelligence (BI) has seen the emergence of a number of component parts designed to support the different analytical functions necessary to deliver what enterprises require.
Earlier today the Business Intelligence Group announced its Startup of the Year Award for 2016 and selected MapD as a winner in that category.
On Friday, Amazon announced the availability of large GPU instances on AWS marking a new chapter in the GPU revolution.