Big Data is a collection of data that is beyond the reach of traditional applications and tools. The size of the Big Data is increasing day by day, and by 2012 it could range from several tens of terabytes to several petabytes (one petabyte = 1024 terabytes) for only one dataset.
In 2001, META Group analyst named Doug Laney (now Gartner Research) said that the challenges and opportunities that lie in the data growth could be described in three dimensions: volume, velocity, and variety.
Gartner, along with many other companies and organizations in the field of information technology continues to use this 3V model to define the Big Data. By 2012, Gartner added that the Big Data, in addition to the above three attributes, needs new forms of processing to help with decision making, in-depth exploration of things and the optimization of the working process.
How can the Big Data help us?
SAS says that the real problem is not with the data you collect, but rather what you use the Big Data for. In general, there are four benefits that Big Data can bring: cutting costs, reducing time, increasing development and optimizing products. Then, it helps people make the right decisions.
If you pay a little attention, you will see when shopping online on eBay, Amazon or similar sites, the page will also offer the next hint for you. For example, when viewing the phone, it will suggest for you to buy backs and batteries additionally. When buying t-shirts, there are more suggestions for jeans and belts. Therefore, the study of hobbies, habits of customers also indirectly help businesses sell more goods.
So where does this information about habits and hobbies come from? It is from the huge amount of data that businesses collect as customers visit and interact with the site. It is not just the Big Data that will not only increase the profit for themselves but also boost the user shopping experience. We can save more time with suggestions rather than having to look for it yourself.
End-users will benefit from such optimization. But we are hard to develop or buy solutions to exploit the Big Data because their cost is too expensive. It can be hundreds of thousands of dollars. In addition, the amount of data that we get is hard to see as “Big” if only a few Terabytes are created for a long time.
For more, the Big Data application can help organizations anticipate the unemployment and career trends of the future to invest in those items, or cut back on spending. I like the economic growth, and even a pre-epidemic prevention plan, like in the World War Z movie, Israel already knew the zombie epidemic and quickly built a wall which is separate from the outside world.
In 2009, Google used its Big Data to analyze and predict the impact of the H1N1 flu pandemic. This service is called the Google Flu Trends. The trend that Google drew from the search keywords related to the H1N1 flu had been very close to the results of two independent influenza alert systems, Sentinel GP and HealthStat. Flu Trends data was updated almost in real time and was then compared with data from disease places in many parts of the world.