How Internet companies view Big data and challenges

The arrival of the "data" era will have a significant impact on everyone and every business. In fact, as early as 1980, the famous Futurist Toffler in the third wave of the book, the big Data enthusiastically praised as "the third wave of the CLS movement." The two years have just begun to heat up the big data, although many people are still confused about "big data", but large http://www.aliyun.com/zixun/aggregation/3518.html "> Internet companies have noticed the endless glamour of big data technology and used them to add money to the company's barrels.

How Internet companies recognize big data

How to get a good understanding of big data is critical to your business, which determines how you can use large data to create value.

Dongjian from Sina thinks the big data has three characteristics, one is the quantity is very big. Like Sina itself this platform has 4, 500 million of users, daily active user volume also has tens of millions of, the resulting data volume entry is billions of. In addition, the increase in data is very large, a large number of active users to share, comment or forwarding, and so on.

The second is the characteristic of structure. Large data consists of structured data (traditional databases), semi-structured (Web pages and mail) and unstructured data (photos, pictures, audio, or video). The third is data processing. There is no use for data to be processed and analyzed in order to produce value.

Zhou of Sohu said that the rise of large data is also from the previous analysis of deterministic data into ambiguity, such as you read the 18 large reports, whether you can infer that you are a politician, or you are only interested in some of the content of the report. So how to remove distractions from a lot of data, dig into what you really need, and look for a possible trend. The most important thing is not the size of your data, but what kind of rules you can find about the existing data base and turn it into a business or user value.

Jingdong Mall's Li Xi said, they are from two aspects to look at the big data, one is how to obtain the data quickly, this involves the data storage and the backup strategy, second is how to do fast real-time query, how to establish the data modeling environment.

The Wu-Jing-jing-Jing-Asia feels that there is no essential revolution or change in the way people perceive this society. But the big data era, will give us some new opportunities, we can make large-scale understanding of a person, know a society, know his way of life, the industrial chain brought about by the changes and impact will be very large.

What challenges big Data poses

The challenges of big data are diverse, including storage, security and privacy challenges, but we cannot stop there.

Sina Dongjian that big data challenges are indeed many, the first encounter is a storage problem, such as how to build a large-scale and relatively stable data storage platform to meet a variety of different types of data storage. Depending on the business characteristics, you may want to build a platform for different data. In addition to the challenges of network technology, network hardware technology has also been the development, began to be able to respond to the characteristics of large data.

Finally, personal privacy security is one of the challenges, ubiquitous user data behavior analysis mechanism, so that the user's various behaviors completely exposed to the Internet. If you do not protect the user's data, the user's privacy data may cause a serious leak.

And Sohu Zhou think large data is a pseudo proposition, from the point of view of data analysis, the Internet from the beginning of the establishment on the continuous data analysis, but relatively simple. And the things that big data digs out can be turned into commercial value. And the big data is not to say that need to do something alone, it is ubiquitous, the key is to see how you use the data, such as our advertising-related sorting, is based on a large number of data analysis.

Jingdong Mall Li Xi said that currently Jingdong has hundreds of people doing data analysis related work, the biggest challenge is that they need to do the whole process of shopping tracking, how to do all kinds of data integration. From the user has not started the order, to the order after the distribution of how much time, the user has no complaints after the sale. Traditional bi means have not been able to integrate structured and unstructured data organically. and to solve the answer, we have been constantly groping and exploring.

According to Wuyazho, the challenge of big data is whether people correctly understand the meaning of data, the big data is more about the relevance of the data, the most fundamental question is how you perceive it, what it thinks it is, and what the connection is, in addition to the data collection, storage and calculation.

Finally, Wuyazho stressed that a lot of data analysis, after repeated chewing, found that the beginning of the conclusion and later is not the same. So, the key is, with the data we can not seriously analyze and treat it, find its real value.

Users ' privacy should be respected in the big data age

The user's privacy problem is a big data age must face, how to protect the user's privacy security? The guests from different companies invariably expressed such a view, in understanding the user's habits and behavior, should be timely, moderate and not excessive to provide services for him.

The future development of large data must have the corresponding industry standards and regulations to regulate, such as data exchange standards and rules, privacy-related security regulations, such as what things in the data exchange can be exchanged, which cannot be exchanged. These require industry to work together to promote, so that privacy can be respected, value can be shared.

(Responsible editor: The good of the Legacy)