It's blind it's no pressure big data must be known

During the Spring Festival, we all witnessed the world's largest "human migration" flow of traffic, logistics, flow of people, they are also the flow of data, is business opportunities. and large data, is such a need to use a proprietary platform to achieve value extraction to help decision-making analysis of the mass data set. Given the universality and importance of large data in cloud computing, mobile, social and other trends, this article will provide a broad range of readers with the basics of big data to help more people understand big data and tap into more business opportunities.

Alternative "v Vendetta Team"

When it comes to big data, it's natural to think of the 4V features of Big Data: Volume (large data), Velocity (strong real-time), produced (variety), veracity (authenticity). In addition, usually large data also has the characteristics of value (value), which is one of the main drivers of attention to large data. The "V vendetta" here refers to the redefinition and excavation of values in the age of large data, which fills every corner of society.

Large data is multidimensional and highly complex. The value of large data includes, but is not limited to: Data organization and management, infrastructure, decision support, and automation interface and analysis. With the rise of new data sources such as social data, enterprise content, transaction and application data, the limitations of traditional data sources are broken, and enterprises need effective information governance to ensure their authenticity and security.

Four elements and challenges of

Volume

Data volume is huge. From TB level, to PB level. As of now, all the printed materials produced by human beings are 200PB (1PB=1024TB), and the amount of data in all the words that mankind has said in history is about 5EB (1EB=1024PB). Currently, the typical personal computer hard disk capacity of TB level, and some large enterprise data is already close to EB level.

Velocity

Fast processing speed, 1 second law. According to IDC's "Digital Universe" report, global data usage is expected to reach 35.2ZB by 2020. In the face of such a huge amount of data, the efficiency of processing data is the life of the enterprise.

Produced

A wide range of data types, log, video, pictures, geographical information and so on. The diversity of types also allows data to be divided into structured and unstructured data. Compared with the traditional text-oriented structured data, which is easy to store, unstructured data is more and more, these multiple types of data have higher demands on the processing ability of data.

Veracity

Only real and accurate data can make the control and governance of data really meaningful.

Value

Low value density. The value density is inversely proportional to the size of the total data. How to complete the value of the data more quickly through the powerful machine algorithm is a difficult problem to be solved in the background of large data. With the rise of new data sources such as social data, enterprise content, transaction and application data, the limitations of traditional data sources are broken, and enterprises need effective information governance to ensure their authenticity and security.

(Responsible editor: Lu Guang)