Company GoodData Address 111 Sutter Street Floor 4 San Francisco, CA 94104, USA Founders Roman Stanek Founded May 2007 Funding $ 75.5 million Employees 288 Website www.GoodData.com/ Rating 7 bits  GoodData is designed to do big data analytics on applications that live in the cloud. GoodData has created a big data solution for companies that want to cater for … [Read more...] about GoodData offers a Big Data solution for SaaS providers
visualization
How To Understand And Visualize Big Data Video
Visualizing big data is one of the most important aspects of big data but it is also one of the most difficult aspects. Giorgia Lupi, Design Director at Accurat, explains how to make aesthetically beautiful compositions of data that tell the story of the data, every time. She shares beautiful visualizations and tells how they achieve and create those visualizations. … [Read more...] about How To Understand And Visualize Big Data Video
Roambi Offers Interactive Mobile Big Data Visualizations
Company Roambi Address 120 S. Sierra Ave Solana Beach, CA 92075, USA Founders Santiago Becerra, Jaime Zuluaga, Quinton Alsbury & David Becerra Founded 2008 Funding $ 44 million Employees 100 Website www.Roambi.com/ Rating 8 bits  Roambi is a big data startup that completely focuses on mobile visualizations and they understand that practice pretty well. … [Read more...] about Roambi Offers Interactive Mobile Big Data Visualizations
How English Football Clubs Score With Big Data Video
The film Moneyball, released in 2011 and based on a true story, introduced the world of analytics to sports. Now big data analytics has arrived in the English Premier league. However, football is a much more dynamic game than baseball and thus analytics is a lot more difficult. The correspondents from The Economist discuss how big data can be applied and is already applied in … [Read more...] about How English Football Clubs Score With Big Data Video
Why The 3V’s Are Not Sufficient To Describe Big Data
It is generally accepted that big data can be explained according to three Vs: Velocity, Variety and Volume. In a 2001 research report, META Group (now Gartner) analyst Doug Laney defined big data as being three-dimensional, i.e. increasing volume (amount of data), velocity (speed of data in and out), and variety (range of data types and sources). Later in 2012 Gartner updated … [Read more...] about Why The 3V’s Are Not Sufficient To Describe Big Data
