Big Data Storage And Analysis

With the security it process continues to advance, Yunan defense, cloud computing, cloud storage in the field of security hot; On the other hand, security high-definition, networking and intelligent development, security, especially video surveillance data explosion-type growth, massive data storage and application become a new problem. 　　In this context, cloud storage becomes a necessary choice for security data storage and higher-order applications. As we all know, the rapid development of security applications, especially intelligent city, Safe city, intelligent transportation and other industries in the application of in-depth, security large data such as video surveillance videos, alarm data, and also an explosion of growth. According to I.

Advances in technology and changes in market demand are always the most important two aspects of the development of an industry, these two aspects are mutual influence and mutual action, security technology progress is obvious to all, the image of High-definition, transmission network, storage cloud, the application of intelligent platform. The market has also quietly changed, traditional public security services are no longer the focus of security video surveillance market, industry-specific video surveillance network and rapid development of family security services will soon become the next market focus, with the shift of the market center of gravity, in order to adapt to new market features and needs ...

There are two main ways to store data: Database and filesystem, and the object-oriented storage are developed behind, but the overall thing is to store both structured and unstructured data. DB is initially serviced for structured data storage and sharing. FileSystem storage and sharing is large files, unstructured data, such as pictures, documents, audio and video. With the increase in data volume, stand-alone storage can not meet the needs of structured and unstructured data, then in the era of cloud computing, there is a distributed ...

There are two main ways to store data: Database and filesystem, and the object-oriented storage are developed behind, but the overall thing is to store both structured and unstructured data. DB is initially serviced for structured data storage and sharing. FileSystem storage and sharing is large files, unstructured data, such as pictures, documents, audio and video. With the increase in data volume, stand-alone storage can not meet the needs of structured and unstructured data, then in the era of cloud computing, there is a distributed ...

And by the end of the year, for the storage sector, too much has happened, the big data quickly become it hot words, and large data-related large data-derivative industry has been booming. 2012 Big Data from the sky, the rapid occupation of science and technology newspapers, hybrid cloud storage emerging, NAS storage to reproduce the scenery, flash technology and integrated infrastructure is also among the mainstream, can be said that the 2012 storage market boom anomaly. Here we have a 2012 storage year for the field of inventory, look at the storage industry those aspects in this year has been a big development, for 2013 years or ...

Talking about the positioning of seven cows, seven Neu Yun storage CTO Han To said the current isss and PAAs boundaries have been blurred, customers become more rational, they are more concerned about the real value of cloud storage products. In such a market situation, seven of cattle to data for their own core value, and around the topic of data for the enterprise to provide a wealth of peripheral functions, such as upload and download CDN acceleration, data processing, analysis, custom computing platform and other services. Since its inception in 2011, seven cattle currently has 150,000 enterprise and developer customers, while referring to the advantages of seven cattle, he expressed his focus on the business ...

Traditional data storage and management are based on structured data, so relational database systems (RDBMS) can meet the needs of various applications.

"Big data" usually refers to data sets that are huge, difficult to collect, process, analyze, and those that are kept in the traditional infrastructure for long periods of time. The "big" here has several meanings, it can describe the size of the organization, and more importantly, it defines the size of the IT infrastructure in the enterprise. 　　The industry has an infinite expectation of large data applications. The more value the business information accumulates, the more it's worth, but we need a way to dig it out. Perhaps people's impression of big data comes mainly from the cheapness of storage capacity, but in fact, businesses are creating big everyday.

The industry has divergent views on the concept of large data. One of the most notable is the definition of the authoritative research institute Gartner: Large data is the ability to gather, manage, and process data for its users over an acceptable period of time, beyond the common hardware environment and software tools. Large data is not a simple data capacity, data speed, complexity and diversity are the key characteristics of large data. Big data often comes from new data sources, where unstructured data is the absolute mainstay. Unstructured data refers to those data that are not convenient to use in two-dimensional logical tables of the database, including all forms of office ...

"Big data" usually refers to data sets that are huge, difficult to collect, process, analyze, and those that are kept in the traditional infrastructure for long periods of time. The "big" here has several meanings, it can describe the size of the organization, and more importantly, it defines the size of the IT infrastructure in the enterprise. The industry has an infinite expectation of large data applications. The more value the business information accumulates, the more it's worth, but we need a way to dig it out. Perhaps people's impressions of big data come mainly from the cheapness of storage capacity, but in fact, businesses are creating a lot of data every day ...