Big global data will grow 50 times times over the next 10 years

Big data is a hot topic. Computerworld quotes IDC's research report as saying global big data will increase 50 times times over the next decade. In 2011 alone, they say, we'll see 1.8ZB (1.8 trillion GB) of large data creation. This is equivalent to every American writing 3 tweets a minute, and still writing for 26,976 years. Over the next decade, the number of servers managing the Data warehouse will increase by 10 times times to cater for 50 times times larger data growth. The report adds that IT managers may fret about finding enough people with the necessary skills and experience to manage such data. The fifth annual IDC Digital Universe Research Report discusses all these issues.

The rapid growth in large numbers is due in part to the popularity of smart devices, such as clothing sensors and medical devices, as well as intelligent buildings such as buildings and bridges. In addition, unstructured information-such as files, emails, and videos-will account for 90% of new data for the next 10 years. The growth of unstructured information is due to the growth of high-bandwidth data, such as video.

There are also some good news, such as new hardware and software that reduces the cost of creating, searching, managing, and storing information to a level equal to One-sixth in 2005. This explains why the server only needs to grow 10 times times as the data grows 50 times times. Since 2005, related costs have also been reduced, as companies have invested only 50% to 4 trillion dollars in hardware, software, cloud services and information management manpower.

The cloud drives costs down and will play a bigger role in the future. So far, cloud computing accounts for only 2% of all IT spending. However, IDC said that by 2015, nearly 20% of the information would somehow take advantage of cloud services, and 10% of the information would be stored on cloud architectures.

The next step, according to David Reinsel, vice president of IDC Storage and semiconductor research, is to allow institutions to better tap the value of the mountain of data through large data analysis. "There is a big opportunity here, and some people may miss out on it," he said. As long as successful examples of big data are widely publicized and people see ' own golden houses ', you will find more companies willing to store data online. ”

Gartner has also discussed this issue in its recent report. While the volume of large data is indeed a problem, Gartner's analysts say that "the real problem is digging up the value of large data and finding a way to make big data to help achieve better business decisions". I very much agree with that.

Yvonne Genovese, vice president and senior analyst at Gartner, said: "The ability to manage large data will become the core competency of businesses that increasingly use new forms of information, such as text, social media." This capability will help companies find the best models to support business decisions, the so-called model-based strategy (pattern-based strategy). As a change engine, a model-based strategy will take full advantage of patterns to find all dimensions in the process. It then provides the basis for modeling new business solutions, allowing enterprises to better adapt to the new environment. ”

The ability to handle large data growth and leverage large data will be a priority for many companies, or they will be subject to the data and their competitors in the coming years.

(Responsible editor: admin)