Deep understanding of large data

At the moment, large numbers are known to all. But what is the big data? What is the precise definition of large data? What can the big data bring us? We're not sure yet. Now we have a deep understanding of big data.


you can get all the data


in many ways, we are living in an unprecedented era. We've never been able to get as much data as we do now. The megabytes, bytes and bytes of data that have been overlooked by people have now emerged. In today's industrialized society, the average person consumes more information per day than the amount of information consumed by people who live in the 15th century.


There is no one person or company that can store and retrieve all the data on a particular subject, let alone all the data, including Google. Google indexes only the information in the surface network, not the information in the deep web. Experts estimate that the latter is 25 times times the size of the former. So when we do our search, the amount of information we get is only the 4%~6% of http://www.aliyun.com/zixun/aggregation/5742.html "> Internet Information."


you need all the data


There is no doubt that the more data helps, it doesn't mean that you need all the data when making a business decision. Companies that are making efficient use of large data have realized that they don't need to get all the relevant information.


a large number of new data sources are emerging almost every day, but not all of the data is valuable. For example, e-mail messages often provide us with valuable insights into the state of the business. Savvy companies are digging up personal information to assess employee sentiment and who might resign. But that's not to say that all emails have the same value. Because it doesn't make sense to analyze junk e-mail. You don't need all the data. The more the data, of course, the better, but please don't waste time trying to do this impossible thing.


Big data will give us a definite answer


We often hear the business motto "deal with the data you can handle and get more information from it." "We encounter a lot of problems in making business decisions using the information we have." In fact, we simply cannot use this information to accurately predict the company's mergers and acquisitions, product launches, new ventures, and employee entry.


But this is not to say that there is uncertainty and that big data will not help us. Please do not confuse reduction of uncertainty with elimination of uncertainty. The day that big data can help us to eliminate uncertainty is not here yet, and it may never come. Analyzing massive unstructured data may help companies better understand their customers ' moods. But don't be mistaken for large data to exclude all possibilities for us. The impermanence of life and the ups and downs of our business will destroy the perfect plan we have worked out.


Big Data is just a flash in the pan


Nate Silver can be said to be a representative figure in the Big data field, at least before he left the New York Times. In the 2012 presidential election, although many predicted that Mr Obama and Mr. Romney would be a match for the vote, silver, a statistician, predicted that Obama would win the 2012 presidential election with a 90% electoral vote. Because Silver's prediction model is so accurate that many people now come to him for help when they encounter something.


while the definition of big data and data science is still uncertain for years to come, it is certain that the amount of data consumed in 2013 exceeds the amount of data consumed in the year 2012. Many companies have recognized the importance of big data, and rejecting big data could lead to a company being eliminated from competition.