Agile Big Data Webinar

In this recorded webinar, Infochimps Director of Product, Tim Gasper, discusses how Infochimps tackles business problems for customers by deploying a comprehensive Big Data infrastructure in days; sometimes in just hours. Watch as Tim unlocks how Infochimps is now taking that same aggressive approach to deliver faster time to value by helping customers develop analytic applications with impeccable speed.


Data and analytics is a means to an end. Jim highlights a new revolution of analytic applications with some touching examples in the healthcare industry with cancer research and medication therapy management.

Gigaom Webinar

Watch as GigaOM Cloud Research Director Jo Maitland, GigaOM Analysts Ron Bodkin and Dan Olds, along with Infochimps CEO Jim Kaskade discuss drivers for doing Big Data as a service, the ecosystem of Big Data cloud services and Big Data managed services, when the cloud model make sense for Big Data, and the risks and challenges.


44% of Big Data projects don’t get fully deployed, and very few achieve intended business objectives. During this video, listen to Big Data expert and Infochimps Product Manager Tim Gasper, share insights and explain how to effectively execute your Big Data project, and avoid the most common pitfalls. You’ll learn some tips to ensure your Big Data projects get not only get off the ground and completed, but also quickly and positively impact your business’ bottom line.


Our approach to Big Data application development vastly speeds up project delivery time, and empowers you — the developer — to create applications with real business value without requiring months of new training. The Big Data Starter Kit, a developers toolkit for the Infochimps Cloud, provides a taste of our methodology and the experience of building Big Data apps using our tools.


In this video, Dhruv Bansal, Chief Science Officer of Infochimps, builds a Hadoop cluster in 20 minutes with Ironfan. Spin up clusters when you need them, kill them when you don’t, so you can spend your time, money, and engineering focus on finding insights, not getting your machines ready.