On January 8, the 2016 Big Data Ecology Overview Summit was successfully held in Beijing. More than a thousand big data industry practitioners from all over the country, well-known experts in the industry, and executives of leading enterprises gathered together to discuss the development status and future direction of China's big data industry.

The summit was hosted by CDA Data Analysts at the Home of Economics and Management, and invited Taipei Medical University Professor Xie Bangchang, IBM Big Data Product Director Hong Jianxun, Yonghong Technology Co-founder Xie Ling, Guiyang Big Data Exchange Chief Operating Officer Li Guojing, Huawei Big Data Director Liu Dongdong, Netease Cloud Marketing Director Zhang Xinhui, Oracle (Oracle) Global Vocational Education Project Northern District Manager Rong Peng, TalkingData Partner, Executive Vice President Lin Yifei, SAS China Chief Consultant Gao Jutai and other guests attended the summit.

At the summit, Yu Shuangfeng, secretary general of the CDA Association, delivered a speech. He said that helping the overall progress of the data analysis industry is the unremitting goal of the CDA Association. He hopes that more and more institutions, enterprises and data analysts can contribute to the progress of the industry.

Yushuang Feng, Secretary General of CDA Association, delivered a speech

A total of more than 30 guests from the main forum and sub-forum shared their views and discussed the innovative development and future prospects in the field of big data.

On the technical level, Hong Jianxun, director of big data products at IBM China, introduced that in February last year, IBM and industry IT companies established an ODP organization to jointly create a Hadoop environment that enterprise-level customers would expect, with the purpose of making tools between companies. It can be interoperable with products; in June last year, IBM open sourced Spark to open source to the Spark community free of charge for more than ten years, and established a Spark community in San Francisco to study the integration of Spark and existing businesses and do more. development of.

"It seems that technology is very important to us, but technology is not technology for technology, all technology serves business," Hong Jianxun introduced, technology is easily eliminated , IT industry and communication industry have developed very fast in recent years, and practitioners Without mastering business-related things, the knowledge learned a few years ago will be refreshed.

In the sub-forum of "Harmony is valuable", Liu Dongdong, director of Huawei's big data, told reporters that big data is an industry that can be subdivided into many fields. There must be a data source, a data merger company, data mining, and data. Application, visualization, storage and calculation, as well as consulting, have great opportunities, but the current industrial chain is not perfect, and the most difficult thing is to combine these companies with different functions.

"In 2016, the big data industry will continue to accelerate. It may be a bursting point in 2017. All industries will be impacted by big data, and all companies will realize that big data should be played. Product homogenization is becoming more and more serious, and eventually It will become customer-centric and data-supported. In the future, the competitive way of enterprises is that you have 5 dimensions of data, and I have 10 dimensions of data, then I win. "Liu Dongdong said.

With the demand for data services by enterprises, new growth points will emerge in the cloud service market. Netease Cloud Marketing Director Zhang Xinhui believes that the current domestic market share of PaaS services accounts for less than 10 in China. In the future, this market will have a relatively large growth. "At present, the capital ratio of the to B business in the US market accounts for 40%. The C-end business accounts for 60%. In China, the to B business accounts for 1%. As various enterprises need to be served, technical services, management services, etc., in the case of cloud services IaaS layer is saturated, PaaS and SaaS layer may be the next growth point. "Zhang Xinhui said.

Rong Peng, manager of the northern area of Oracle's global vocational education project, is more optimistic about the future of entrepreneurs who use big data. But its creativity is completely new and can find a new blue ocean. "

With the blowout development of the big data industry in China, the data talent gap has increased, and data analysis talent training has become an indispensable link in the big data industry chain. At the same time, the data analyst industry is also facing problems such as no certification standards and no assessment system.

On the day of the summit, the CDA data analyst and Oracle (Oracle) held a signing ceremony. The two parties will cooperate in data analysis talent certification and launch joint certification in the field of big data.

Cao Xin, Director of Marketing of CDA Data Analyst, introduced that in November last year, CDA Data Analyst and the China Mining Association (Taiwan) reached a strategic cooperation alliance to establish a cross-strait professional mobility certification system. Another new attempt at certification standards.

" At present, there is a general problem in the training industry, that is, quick success, " said Rong Peng, manager of the northern area of the Oracle Global Vocational Education Project. This is reflected in the pursuit of the so-called popular technology. Some underlying and core technologies and capabilities are not Outdated, on the contrary, it will become more and more valuable as the analyst ’s career . Oracle is very concerned about the cultivation of the underlying technology when training. CDA data analysts also have a good grasp in this regard, taking into account the popularity of the industry Technology also takes into account the underlying core content, which is also the reason for the cooperation between the two sides.

Cao Xin said that in the future, CDA data analysts will cooperate with more outstanding people, launch more high-quality data analyst talent education courses, and work together to do a good job in the data analysis talent training market.