Challenges and opportunities coexist in the "Big Data Age"

Large data as a hot word for the web, has been frequently mentioned recently. In fact, global industry giants have been aware of the arrival of the "Big Data Age" by acquiring large data-related vendors for technology integration. Experts say China has the opportunity to lead the development of the cloud computing industry in the "Big Data Age".

At the 2012 China Data Center Conference held recently, Ubaogui, Deputy chief engineer of China Institute of Electronic Information Industry development, said that data center, as the main support platform for enterprise IT construction, could obtain valuable information from large data in the premise of effectively and rationally controlling TCO. , how to efficiently utilize cloud computing resources, better serve the development of enterprise business, and how to simplify the management of data are the challenges that enterprises must face at present.

Large data as a hot word for the web, has been frequently mentioned recently. In fact, global industry giants have been aware of the arrival of the "Big Data Age" by acquiring large data-related vendors for technology integration. Huaijin Peng, academician of the Chinese Academy of Sciences and President of Beijing Aerospace University, believes that in the "Big Data Age", China has the opportunity to lead the development of cloud computing industry.

The advent of the "Big Data Age"

Li Zhijian, chief expert of the Internet Technology Strategy and Government affairs department, said that "the data explosion to describe today's IT development is not too much, the data growth is never-ending". However, there is no uniform definition for what is large data.

In the recent Oracle large data and the ultimate Analysis media conference, Oracle company vice president and Greater China Technical general manager Sishing put forward a view. He believes that big data has four characteristics, that is, the large amount of data, centralized storage/centralized computing has been unable to deal with the huge amount of data, many structured data, including text, pictures, video and documents, etc., the growth rate is fast, the user base is huge, the equipment quantity is large, the data index level is high, A single piece of data does not have much value, but huge amounts of data contain enormous wealth.

Some experts say big data drivers are driven mainly by large companies such as Google and YouTube, which need to analyze data in a very optimized way and make computing and storage work together. There are also a number of big data from industries such as health care, geo-spatial imagery and digital media, which may not be as large, but processing these datasets is usually done in more than 24 hours with several systems allocated.

In fact, at present, EMC, Hewlett-Packard, IBM, Microsoft and other Giants have been aware of the "big Data Age" to come, through the acquisition of large data-related vendors to carry out technology integration.

Industry experts believe that the "big data Age" industry development has three major trends. First, the application software will be pan-Internet, and the second is that the industry will be vertically integrated, the closer the end user enterprises have a greater say in the industry chain; third, data will become assets. All three trends revolve around data, pan-Internet is an important channel to collect data, without pan-Internet application software, it is difficult for enterprises to obtain user's behavior data; industry vertically integrate data application level, by collecting a large number of user data, closer to the user, more understanding of users, to provide more applicable services The strategic significance of data as an asset for more emphasis on data.

Challenges and opportunities coexist

In the "Big Data Age", challenges and opportunities coexist. Xie, a former managing director at Yahoo China, told reporters that the challenge focused on 3 areas: the strategic decision-making capabilities of IT vendors, technology development and data processing capabilities, and organizational and operational capabilities.

Some experts said that large data does not mean to subvert or replace the original investment, through the platform integration strategy, the implementation of the original data platform expansion is a major data solution is an important direction of development. In data storage and performance optimization, it vendors can provide enterprises with a variety of technology path, enterprises must understand what technology can effectively help themselves to reduce costs, improve operational efficiency.

Chen Yujie, a panel of technical experts at Cloud Computing Alliance in Taiwan, said the data that companies have seen in the past more than 10 years is incomplete. In the "Big Data Age", the enterprise looks at the whole angle of the data and the thinking thread will have the fundamental change, how to better realize the data visualization is a challenge. The second challenge with big data is that traditional databases and data warehouses face a cost-performance problem when dealing with big data. A large amount of unstructured data brings about an explosion in data volume, higher requirements for storage capacity, transmission rate, and calculation speed, so enterprises must consider more cost-effective computing and storage.

Opportunity and challenge are two sides of a mirror. Xie said the advent of the "big Data Age" would also bring potential opportunities for it vendors. The increase of the amount of data for it vendors to provide a precise grasp of user groups and individual network behavior patterns of the foundation, if the full use, you can explore personalization, personalized, accurate and intelligent advertising push and service promotion services, Create a new business model that is several times or even dozens of times times more cost-effective than existing advertising and product promotion formats. At the same time, it vendors can also find ways and means to better increase user stickiness, develop new products and services, and reduce operating costs by grasping large data.

Wang Cong, general manager and senior analyst at ESG China, argues that there will be some new technologies in the big data area, and that in the next 1-2 years there will be a growing number of technologies that can handle large, unstructured data, which in turn will drive the development of it vendors.

Cloud computing waves scouring the sand

Global information volumes are up 1 time times every two years, according to an international data Company (IDC) report released in 2011. In 2011 alone, the total amount of data created and replicated globally was 1.8ZB, which rose more than 1ZB from the 2010 period, and is expected to grow to 35ZB by 2020.

All right, Chen Yu, chairman and chief executive of the group, says that to gain insights from massive data, conventional technology has struggled to cope with the massive data operations of P-1P=1024T, and cloud computing is the only option.

So how does cloud computing relate to big data? Xie that cloud computing is an important part of the big data age. Some commentators argue that, in essence, the relationship between cloud computing and large data is static and dynamic. Cloud computing emphasizes computing, the concept of moving, and data is the object of computation, the concept of static. If the data is wealth, then the big data is the treasure, cloud computing is a tool to dig and use the treasure. Without strong computing power, the data treasure is a mirror flower after all, without large data accumulation, cloud computing can only be used to kill the chicken with a sledgehammer.

Some analysts believe that large-scale data management has a high complexity, because of this, large data analysis is usually in the local server cluster, while the advantage of cloud computing is to optimize the existing resources as efficiently as possible, if properly deployed, large data and cloud computing is a combination of strong and powerful.

"Chinese internet companies are already on the cusp of world cloud computing. "China has the opportunity to lead the development of the cloud computing industry under the tide of big data," said Huai-Peng.

(Responsible editor: The good of the Legacy)