Talking about the advantages and disadvantages of large data industry from "Dongguan Escape map"

1th page: Water gathers into river-small data collects into massive data

Before the Spring Festival, for large data This "unknown" field, even when the industry talked about, but also more talk about the value of large data how! However, a Baidu migration map of the Spring Festival allows more people to begin to understand the big data. And Dongguan vigorous anti-Vice campaign caused by "Miss Johns Escape Map" is to let people realize that big data and everyone's closely related. Then, the big data is so sudden but inevitable fire up.

The water gathers into the river small data gathers into the massive data

Big data is not difficult to understand, just as "water gathers into a river", the big data is made up of countless small data. "You and I he" may be the creator of this big data, our every move, smile a frown, can become data, all the data composed of large amounts of data, we call it large data.

Large data from different industries refer to the same data, but the same data may be collected in different fields, and even the same data can have different effects in different fields. A single data may not be very useful to us, but by analyzing the entire large data, we can predict that some of the things that happen to a single data generation, perhaps what has happened or are about to happen, can be analyzed from the data.

Gradually landing big data began to go into life

Big data may be stranger to individuals, but the concept of big data dates back to 1980, but until 2009, "Big Data" became a buzzword in the Internet's information technology industry, and the buzzword was spread among enterprise-level it people.

For individuals, large data seems to be more familiar to us only in the early 2014. It can be said that before 2014, the concept of large data is more to stay in the hype period, only in the professional enterprise IT people will explore the concept of large data, the value of this large data is only to stay in the oral, even if the effect of the practice may not be ideal. At the beginning of 2014, however, the large data application, led by Baidu Migration map, began to fall, allowing people to begin to understand the big data, and really began to walk into the consumer population.

Page 2nd: To discard the essence of the dross-data sources need to be cautious

Technology changing in the big data industry

The advent of the big data age has a great relationship with the progress of human society. Primitive Society people use stone, etc. to record data, late paper records and so on are early people record data way.

But with the development of IT technology, storage technology has greatly improved, people through 0 and 1 to record different data to storage media. This storage method is also easier for people to query, analysis, and find the trend of events, which is now said that the large data analysis.

People through the analysis of data to predict and analyze the results of their own want, although large data analysis does not necessarily directly to the enterprise and individual value, but it can help users to a large extent to provide the most appropriate and appropriate assistance. This is also the important reason why people pay attention to big data now, in the final analysis, big data can bring us value.

To discard the dregs to extract the best data sources need to be cautious

There is no doubt that large data is of great value. But there is an old saying in China, "No book is as good as letter." The same sentence applies to large data fields. There are different sources of data, not all of which are valuable to us, and valuable data may be harder to find for large data as a whole.

In large data, a variety of spam information, when the enterprise in the collection of data information, to evaluate their own data, whether there is spam in their own data, this spam information will directly affect the entire large data analysis results. For example, now the emergence of the network of the Navy, a great impact on the value of some data, and this network of data from the Navy is worthless to users.

Therefore, the large data industry also needs to be removed from the mass data center, only to its meal, we can find the real value of large data.

Page 3rd: Big data is not God-it should be assistant decision

There's a lot of data on you.

"Spring Festival Migration Map", "Dongguan anti-vice migration map" so that people really understand the strong data. But we also have to worry about our own information security. Baidu migration Map is precisely through the location of mobile phone users data, to speculate on the trend of the entire Spring festival, if we are aware of this information, then our trip, if someone quietly pay attention to your data, then our actions will be other people master?

Our daily Internet, shopping, video, hotels and so on, will leave us with data footprints, and this data in the future will probably be more people master. When you browse the Web, will it suddenly pop up and be stunned by the things you've recently seized? Do you receive specific promotional messages?

This information is obtained by the enterprise, perhaps we are the most to receive spam information, by enterprises to push a number of promotional information, but if we get these data information by outlaws, it is likely to carry out targeted crimes against us. And the current state of personal data privacy protection is not perfect, in the advent of large data, personal data protection is indeed the most important, directly affect whether large data can achieve landing.

Big data is not God should be complementary to the main

Big data has great value, but that value is not everything. Large data analysis is an analysis of the data that has been produced, and, to some extent, the data is outdated, and the results are more of a reference rather than a decisive role. We can not blindly believe that this information, after all, fierce market competition, many things in the previous market did not appear, policymakers need to be based on market performance, supplemented by large data, to make important decisions.

At the same time, the timeliness of large data analysis needs to be strengthened, our analysis of the data is generally in the event after the incident, and can not immediately judge things, so large data analysis in the timeliness of the need to get a good price. Otherwise, the ever-changing things may not give you time to analyze the data to make decisions.

Sum:

For large data, through 2014 years of two events, so that more people understand the important value of large data, but we also have to be cautious about the large data industry, after all, in the early stages of development, large data industry there are many places need to improve, such as privacy, spam and so on, New large data technologies are needed to address these issues. At the same time, large data is not God, for users, large data should be more to assume the auxiliary role, but not to become the dominant opinion, otherwise it will outweigh the gains.