This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.
By Werner Vogels on 14 November 2010 04:00 PM. This lead to the birth of the Graphics Processing Unit (GPU) which was focused on providing a very fine grained parallel model, with processing organized in multiple stages, where the data would flow through. Driving down the cost of Big-Data analytics. Comments ().
By Werner Vogels on 12 July 2010 05:00 PM. Additionally, many high-end HPC applications take advantage of knowing their in-house hardware platforms to achieve major speedup by exploiting the specific processor architecture. Driving down the cost of Big-Data analytics. All Things Distributed. Comments (). until today.
Vivino was founded in 2010 and now has more than 20 million users worldwide and offices in four countries across three continents. The first platform is a real time, bigdata platform being used for analyzing traffic usage patterns to identify congestion and connectivity issues. Telenor Connexion is all-in on AWS.
To reach those goals, Shell in 2010 began using AWS. These sensors create massive amounts of geological data. Shell leverages AWS for bigdata analytics to help achieve these goals. Royal Dutch Shell – is one of the world’s largest companies. *In
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content