Large data Application rapid popularization enterprise how to grasp the opportunity

Security How to use great data

Large data is the symbol of this age, it represents the effective development and use of information resources, from data to information to resources, is the application of value and benefit gradually clear process. This includes data collection, transmission and storage, leveraging three major phases, reliability, availability, and recoverability throughout. The importance of large data is already consensus, and the landing of large data in the actual application scenario is the premise that large data is really used for us, because only the explicit use method, can fully excavate and use the big data to the intelligence city the function and the value.

How to use great data

Many manufacturers in this area have their own exploration and experience. Intel's role as a vendor of End-to-end solutions from the infrastructure level is of special significance: hardware innovation, represented by the Xeon server processor family, Gigabit Ethernet, SSD, and software innovation, has spawned Intel's open architecture innovation for large data. Moreover, Intel's understanding of the application and value of large data in intelligent cities is also more thorough.

Combined with Intel's understanding of large data, Intel's China regional CTO Miaokai says big data is an essential element in building a smarter city. The application of large data in intelligent city needs to be implemented in three stages, and the data should be integrated first. Second, data mining, which is the focus of large data management. This requires a high degree of coordination and collaboration between hardware and software, and it is the "arena" in which it companies compete. Finally, it is necessary to turn large data into operable actions, thus directing decision making and Operation dimension.

"Technology is strong support, management is the decisive factor of the effect of intelligent city." An Hui further points out that in intelligent cities, no matter where information technology is applied, it is important to improve the awareness of the people concerned, so that people can actively and clearly use the information (data). From the beginning of planning must consider the construction and operation of Intelligent city, in addition, the vision should aim at the practical application, from the urban development and the people's life most concerned about the field and perspective, development and application, promote the use of large data value.

Combined with the demand of intelligent cities for information, large data are the foothold in intelligent cities--providing strong decision support for all areas of intelligent city. In urban planning, through the excavation of the natural information such as urban geography, meteorology, economy, society, culture and population, it can provide strong decision support for urban planning and strengthen the scientific and forward-looking of urban management Service. In traffic management, through real-time excavation of road traffic information, it can effectively alleviate traffic congestion, and quickly respond to sudden situation, providing scientific decision-making basis for the benign operation of urban traffic. In the field of security and disaster prevention, through the excavation of large data, can be found in time man-made or natural disasters, terrorist events, improve emergency handling capacity and security capabilities.

In the foreseeable future, big data will be spread across every aspect of the intelligent city, from the government decision-making and service, to people including basic necessities of life, and then to the city's industrial layout and planning, until the city's operation and management methods, will be supported by large data to "intelligent", large data into the wisdom of the city's "wisdom engine."

Large Data Market Forecast

With the advent of the cloud era, large data (Bigdata) has attracted more and more attention. Bigdata, a team of analysts at Yuntai, argues that big data is often used to describe the vast amount of unstructured and semi-structured data that a company creates, which spends too much time and money downloading into relational databases for analysis. Large data analysis is often associated with cloud computing, because real-time large dataset analysis requires a framework like MapReduce to allocate work to dozens of, hundreds of, or even thousands of of computers. So what is the future of the big data market? Industry insiders have made ten predictions.

1. Hadoop towards commercialization

Today, Hadoop's community environment is very similar to Linux 10 years ago. Linux in the early 90 began to set up an open source community, in the middle of the 90 SuSE, redhat These mainstream commercial manufacturers, and in 2000 formed a complete ecosystem, become the industry's mainstream operating system program. And Hadoop started in 2006-2007, in 2009, Cloudera, MAPR and other solutions. IDC believes that in the next 2-3 years, there will be a commercial release of the heavyweight Hadoop.

Application features and technical challenges of large data

2. Some of the early Hadoop projects face challenges

Hadoop has a bright future, but not all early Hadoop projects can be replicated and widely used. First, many of the early Hadoop projects were pilot projects or proof-of-concept properties and have now completed their historical mission; second, many Hadoop projects do not have enough cases to measure in the early stages of implementation, which will lead to the success of these solutions over the next few years.

3, open source software for large data market to bring more opportunities

IDC believes that, contrary to people's traditional understanding, the prevalence of open source software in large data markets will not inhibit market business opportunities, instead open source software will bring more opportunities to the related areas of infrastructure hardware, application development tools, applications, services, and so on.

4, large data to promote the merger between software companies

Large data concept coverage is very broad, including unstructured data from storage, processing to the various aspects of the application, and large data-related software vendors are also very many, but no one vendor can cover all aspects of large data. Therefore, IDC believes that in the next few years, large it vendors will be in order to improve their own large data product line for mergers and acquisitions, the first will be information management analysis software manufacturers, predictive analysis and data display vendors.

5. The market of integrated equipment for large data is growing rapidly

Since cloud computing and large data concepts have been introduced, the integration of hardware and software devices for the market has emerged. IDC believes that in the next few years, data warehousing all-in-one, NoSQL and other integration of a variety of technology integrated equipment will be further rapid development.

6, large data from the network data processing to enterprise-class applications

In the past few years, the main users of large data use limited to the Internet, telecommunications operators, such as a small number of enterprises. IDC believes that the market will gradually understand large data and not only the bulk processing of large amounts of network record data. Because of the increasing data capacity of other industries, industry users (such as energy, financial services, government, manufacturing) need large data solutions to monitor and analyze data streams.

7, large data to create new market segments

IDC believes that the development of large data-related technologies will create new niche markets. For example, advanced data Services, based on data analysis and processing, will present an analysis of services (Analyzeasaservice) business with data analysis as a service product, integrating multiple information management to create component products that unify access and analysis of large data; Social network based analysis of large data There will even be a training market for large data skills, teaching data analysis courses, etc.

8, the emergence of large packaging data industry analysis and application

With large data moving into various industries, the demand for large data analysis applications based on industry is growing. IDC believes that analytical applications for specific industries and business processes in the coming years will be packaged in a prepackaged fashion that will open up new markets for large data technology vendors. These analytical applications will also cover a wide range of industry expertise and attract the input of a large number of industry software development companies.

9, large data to promote the horizontal development of infrastructure

To support the characteristics of large data unstructured and constantly refreshed, the infrastructure dimension will change in the future. The infrastructure support for large data is not limited to high-performance computing, it will require better software for hardware products to support virtualization and distributed architectures. At the same time, the layered storage solution based on solid-state storage and the intelligent load-balanced network structure will be applied more.

10. China has become one of the most important data markets in the world

China is already the world's largest PC and smartphone market, and the number of Internet users and mobile Internet users is the largest in the world, and these terminals create data on the Internet all the time. At the same time, 2011 Chinese Enterprise-Class storage shipments also reached the world's second largest. The huge data capacity not only makes many international manufacturers attach importance to the Chinese market, but also makes China's large data applications have different characteristics from abroad, we have reason to expect that China's large data market will appear localization of innovative solutions.

Based on the prospect of large data market, IDC has focused on China's large data market as a hot topic in recent years to carry out special tracking research, including the current situation of user demand for large data, the size of existing large data market and the forecast of future development trend.

About Large data

Large data (bigdata), or the vast amount of data, refers to the volume of data involved in a large scale to not through the current mainstream software tools, within a reasonable time to achieve capture, management, processing, and collation to help the business decision-making more positive purpose information. 4V features of large data: Volume, Velocity, produced, veracity. Original address: Http://security

(Responsible editor: Lu Guang)