Data elite--"First Venture Lab" for large numbers

Source: Internet
Author: User
Keywords Large data build venture provide
For some time now, big Data has become Silicon Valley's only focus – or rather, a focus on making big profits. Following the trend of enterprise and it technology with the popularity of "cloud computing" as the focus of the industry, many of the world's top venture capitalists began to shift their attention to the new fund, with the aim of making a buck from the Big data field.
As the first large data-investment laboratory built in Silicon Valley, this project, the data elite, will help the emerging companies in the big digital world.
This project was established by Tasso Argyros, who in 2011 http://www.aliyun.com/zixun/aggregation/19145.html "> A 300 million dollar price will sell another data company to Teradata. The list of supporters behind Data elite is impressive, including Andreessen Horowitz and the social+ Capital Partnership, among others.
According to the representative of the project, data Elite's main purpose is to help large data scientists work with their peers to solve a multitude of technical problems, rather than as a short-term plan for training or a cycle of only weeks.
Therefore, the purpose of the Data elite is to help entrepreneurs expand their minds and gather them into ideas--with a minimum amount of $150,000 trillion, and a working environment and technical Support team in San Francisco.
The program is also supported by a number of well-known companies in the technology industry who will provide their own access to market dominance data resources for processing analysis, including Facebook, LinkedIn and Netflix. The companies will also work together to provide mentors for data elite and promise that these mentors will coach the data elite for more than 60 hours a week.
It should be noted that this program is not suitable for novice who has just come into contact with large data. According to the process requirements, the applicant must first provide their own expertise in specific data science certification, and need to provide their own emerging enterprises with a specific and feasible development ideas.
The project process is now in place and will be open to individuals and teams by December 15 this year. The entire access assessment process will be rigorous screening mechanism, and ultimately through the competition left five to 10 companies. The winners will be participating in the three-month training program starting January 14 next year.
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