2015 $16.9 billion: Big data is more exciting than cloud computing

Now that big data analysis technology has become hot, it will be the next boom in the IT industry, and it's going to be booming for a long time to come. In a growing list of industry projects, large data analysis and cloud computing, social networking and mobile computing are listed together. As a technology, large data analysis is likely to change the IT field as we already know it.

Last month, IDC (International Data Company) published a report predicting that http://www.aliyun.com/zixun/aggregation/13568.html "> The market for large data technology and services will grow from $3.2 billion trillion in 2010 to $16.9 billion in 2015, with an annual growth rate of 7 times times that of the average it market, which is quite shocking news. After all, five years ago, few people talked about big data.

But now that the big data has become a new it buzzword, a swarm of press releases mentions the word as if it were the only topic, and the PR industry has survived it as a lifeline. But our journalists are beginning to fear the subject, but you really shouldn't blame us, we are still under the cloud of "revolution", writing a story about the company finally into the cloud computing domain or IT vendors have published cloud products news.

Our research has covered the scale and value of the cloud computing market, even to explore the extent to which companies are preparing for the cloud, and to launch a lengthy discussion about cloud computing challenges. But we have already discarded the big data as another cloud, and now we need to think about whether the technology has a glimmer of hope.

Large data analysis is not only a new computer architecture, can be used to reduce cost and drive efficiency, or a potential technology set, it is possible to change the life of society, so it is similar to sci-fi movies. With large data analysis, interactions between individuals, businesses, and governments can become faster and more open. As a frequently cited example, law enforcement agencies study the specific nature of hot spots and operations through large data analysis. This has been marked by a concerted effort by an American autonomous group called Crimespotting and a British police force with a criminal map. Both schemes summarize criminal records that allow the public to track criminals in their neighbourhoods.

At the same time, another example that is often used to highlight the benefits of large data is that medical researchers can quickly scan data from public health records, medical textbooks, clinical studies, and individual genomic success treatments. The largest university affiliated hospital in Europe-Charlette University, Berlin Medical School, allows every physician and senior management to obtain data on operations, scheduling, patient care and, in some cases, the patient's medical records, which makes the medicalStudents can make arrangements based on the patient's condition, reducing the waiting time for all patients.

by 2017, the human genome of every cancer patient in the hospital will be mapped and incorporated into the system to ensure that they receive the best treatment possible.

In addition, the benefits to society from large data analysis are almost endless. Using large data analysis techniques in another way can prevent urban traffic from becoming overcrowded;

Large data analysis can also monitor cell phone signals, This allows traffic controllers to alert and advise other drivers to take alternative routes while maintaining vigilance in a particular area where a vehicle is congested;

In addition, large data analysis provides technical benefits to the enterprise. Large data analysis is an essential process for financial institutions and insurance companies that analyze large amounts of data in real time for risk management purposes. Retailers and other types of companies now have the opportunity to use the technology to better target their customers to develop marketing strategies.

However, there are few companies in the real world that can analyze large data in the same way, not only because of the high cost of compressing large data technology, but also because many companies do not want to go out of the private sector, especially in Britain, where data privacy debates are so fierce. Britons have been protecting their data, and even though more and more people are opting to share their data with discount card providers to save money or personal entertainment, traditional awareness habits are hard to change in a short period of time.

Of course, personal mindset can change. More and more people are now seeing the benefits of sharing data between consumers and businesses. Nike, for example, allows players to accurately record where they run, rest, and stop, and these players can share this information with their peers, while Nike is designing tens of thousands of racing routes.

Our data is available to the enterprise so that we can work more easily. With the growth of large data, the future of the IT industry will be more exciting. And it's also interesting to see a lot of companies using big data to provide solutions to our increasingly hectic and stressful lives.

(editor: Heritage)