Five insights on Big data

Mr. Tourre is the general manager of Bloomberg Http://www.aliyun.com/zixun/aggregation/17477.html "> Venture capital", a Bloomberg News incubator and Investment agency that founded the New York Data Services Meetup website.

In addition to hosting parties and seeking investment and cooperation opportunities for Bloomberg, Turck is also responsible for helping Bloomberg run business. Recently, he pioneered the Bloomberg Institute, which wants to become the world's leading online education and corporate finance staff recruitment business.

Prior to joining Bloomberg as the main head of the venture capital company in 2008, he served as senior executive at Oracle. He joined Oracle in 2005, when the company acquired Triplehop Technology, a venture-backed enterprise software company founded by Turck, where he served as president and chief operating officer.

Did I mention that he started his career as a lawyer?

But none of these resumes seem to be more impressive than the rapidly growing large data systems that Turck and colleagues have recently tried to map. Their first attempt was in this June. After interviews, research, and feedback from insiders dealing with big data, they released another version of the map as a celebration in October.

"This work is still in progress and will always be." This is inevitable. "He told me. The second version of the map is more "crowded" than the first, reflecting the incredible vitality of large data spaces. ”

I was so impressed with their charts that I decided to interview Mr. Tourre in order to get deeper insights. The five points summarized below are what he thinks you should know about big data.

1. We are a bit ahead of the cycle. As of now, there are gaps in the understanding of large data in various fields (in news reports, seminars, start-ups and venture capital). Most large companies in the real world are using large data technology and are often just beginning.

2. Large companies are often cautious in adopting large data technologies. Some products are still new, rather immature, and many of the early companies are still largely classified as "science projects", so it is important to critically and thoroughly assess these technologies.

3. However, things are developing rapidly. Large data (and cloud computing) is a long-term trend that will play an advantage over the next long time. What is needed is real technology to address the big data problems that require rapid maturation to become a self-fulfilling prophecy, and big data will have far-reaching effects--and in some ways even a revolutionary impact on business and society.

4. What is really exciting is that we have only just scratched the surface. Much progress has been made in infrastructure and analysis, but large data applications, both business and consumer, are only just beginning.

5. While the media spotlight is constantly focused on startups that build new big data technologies, the real beneficiaries will be the large companies that make the most of the technology and the customers they serve.

(Responsible editor: The good of the Legacy)