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In recent years, with the rapid development of Internet, cloud computing, networking and other information technology, a new technology revolution is growing at an unstoppable attitude sweeping the globe, and quietly changing the public decision-making, business management, marketing and all aspects of life, has become a new disruptive technological change, this is the hottest current topic - Big Data.
The so-called "big data" has the connotation of both worlds - the massive and unstructured, and its characteristics are grouped into four V, namely Volume, Variety, Value, Velocity, respectively: a huge volume of data; data type range; the potential value of the data itself, but the value scattered; high-speed data generation, need high-speed processing.
According to statistics, from the beginning to the 2003 human civilization, mankind were created 5TB (trillion bytes) of information. And now, this was only a couple of days the amount of data can be created, and the speed is still accelerating. In 2011, the amount of data created and copied worldwide reach 1.8ZB (1ZB equal to 21 264 bits. 10), the equivalent of the world's more than 300GB of data per generation; expected in 2020, the amount of data generated globally will exceed 80ZB. Needless to say, the modern information society has entered the era of big data.
The era of big data challenges to the enterprise, data-driven business is the key
When hundreds of millions of data can be freely shuttle in the virtual space, when access to a variety of data becomes instantly when large data on government, businesses, and even individuals, have had a profound impact. For most businesses, big data is both an opportunity and a challenge. On the one hand, "get the data the world", through the large amount of scientific data sorting and analysis, can provide powerful support for enterprise data external marketing, internal operations and leadership decision-making and improve operational efficiency, improve the management level. It can be said, and things such as using the Internet to bring the massive data, through mining, analysis and business applications, companies can gain advantage in the fierce market competition.
Another aspect of the mass of data to the enterprise data mining and analysis is a huge challenge. How excavated from complex data in an environment conducive to business development information and make good use of this information to guide business operations, for an enterprise is crucial. "With the data speak", how to make the data produced real value became placed in front of corporate managers have to cross the divide.
At present, the company's information security to LaoSanYang (firewall, intrusion detection and virus protection) to traditional information security system is mainly composed of, is to prevent the closure of the outer and features. According to the survey, 70% of network risk and threat is from within, establish a comprehensive network security devices such as UniAccess terminal security management, UniBDP business system data leakage prevention systems, monitoring and audit of "internal" network behavior and record operational processes achieve management visualization. It is one of the key content of network security construction. Thus, companies not only need to focus on external security, but also to do with the internal safety nets, is the true sense of security, so-called stabbing outside must first be peace within. For clients, endpoint security management and business data leakage prevention systems control "insider" risk play an effective preventive role, the information security market is the future mainstream of development.
Big Data era has brought massive data needs of advanced information technology tools for analysis, which makes corporate IT managers face a more severe situation. Based on the integration and end management, with advanced business intelligence technology, improve data accuracy and velocity analysis, so big data analysis becomes quick and accurate, and easy to use, to help enterprises better realize business value.
