"Csdn Live Report" December 2014 12-14th, sponsored by the China Computer Society (CCF), CCF large data expert committee contractor, the Chinese Academy of Sciences and CSDN jointly co-organized to promote large data research, application and industrial development as the main theme of the 2014 China Data Technology Conference (big Data Marvell Conference 2014,BDTC 2014) and the second session of the CCF Grand Symposium was opened at Crowne Plaza Hotel, New Yunnan, Beijing.
2014 The first day plenary meeting of China large Data technology conference, academician of Chinese Academy of Engineering, researcher of the Institute of Computing Technology of CAS Guojie introduced the difference between BDTC and other forums: white Paper, Interpretation of industry status and future trends; no government officials, no big shots, technology and industrialization oriented, Focus on how to put the big data technology to the ground; The innovation contest, once a year, is designed to inspire technology to the ground. Later, Academician Li said, talking about big data is actually talking about application and technology. In applications, compared to other industries, large data is later, and it can take 5-10 years to convert from practice to mainstream industry. And technically, we mainly say that the computational framework, the current computing framework is still from the top, and many from the high-level language level, resulting in efficiency problems.
Academician of Chinese Academy of Engineering, researcher Guojie, Institute of Computing Technology, CAS
The following is a transcript of the speech:
Guojie:
Good morning, everyone! On behalf of the Chinese Computer Society, the large data Professional committee has expressed warm welcome to the people attending the meeting, especially the distinguished guests who have come from afar to express their heartfelt thanks. China Computer Association Large Data Committee of experts since the establishment of a series of activities, we today this Assembly is an important part of the Committee of Experts, this meeting is not the same as other domestic forums:
First, we did not invite many government officials at the meeting; We are guided by technology and industrialization, focusing on how to land large data technology, so the domestic business and academia attach great importance to the annual enrollment is particularly large.
The Big Data Committee also has a white paper on big data that was released last year and will be published this year, with details visible from the Secretary-General of our large data committee. We make a release on the development trend of large data technology. These results are like the big data white paper and the Chinese publishing house is officially published. We have big data every year, the entrepreneurial competition, this year more than 800 people signed up for the competition next year into the form of the public package of industrialization, not only once, all the year can be held.
We should now for the big data on the two words is how to land, we meet a group of experts to talk about how important the big data, this thing has no meaning, the leaders of various provinces and cities speak Big data, this is not a new thing. Application of large data I think I hope that all of you here in the industry, the application of Cross-border innovation is not to do a little on the application of the line, it is best not to do the application of the establishment of industry, but also remote technology, across the boundary there are a lot of your new unexpected business.
In addition to application, we also pay attention to the value of the system itself, many of the current systems are from natural language, high-level language, such as Spark, which brings problems is the efficiency problem, now can only improve the efficiency of large data.
In addition, we are all over the big data planning, each place is tens of billions of hundreds of millions of, the practice of large data into the mainstream industry time than the place much later, 5-10 years, this is a long time to work the industry. It takes a long time to we will continue to drive, I hope we work together, the big data in addition to industry-oriented, we are very important one thing how to use large data to improve our national governance ability to modernize, promote national equity and justice, this is no less than improve industry, improve GDP, thank you!
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