Gartner publishes independent report interpreting Big data problems

The big data is still in the process of being redefined by people, and now there is another hype cycle technology lifecycle. Gartner recently released its first report specifically on big data topics, the 2012 Big Data Hype Cycle (Hype Cycle for Large, 2012).

The Hype cycle Technology lifecycle is a tool that companies use to assess the visibility of new technologies, using the timeline and the visibility of the marketplace (media exposure) to decide whether to adopt new technologies. Its definition is not very well understood, and the report contains more than 47 large data technologies and terminology, data scientists, cloud-based grid computing, predictive analysis, and open government data. Gartner's hype cycle category is littered with these technologies, documenting the process of large data from hype to maturity and into the mainstream.

Hung Lehong, vice president of Gartner Research, said at a recent webinar that "Big data is not a single technology but a concept and a technology." ”

This set of technologies comes together at an early stage of the life cycle and becomes increasingly complex. Business analysts want to get more insights from the data, and vendors want to incorporate "Big data solutions" into more products. As can be seen from the report, Gartner decided this year to record this phenomenon in words. Today, companies have the ability to use Low-cost servers, open source technology, and cloud computing to carry out large data experiments with little overhead.

Although hype cycle reports are often more graphically represented, the report is supplemented with more textual content, each of which is analyzed in one to two pages.

Significance of Hype cycle life cycle

"The concept of Big data also contains two aspects, which are real in our world but sometimes exaggerated," says Mark Beyer, vice president of Gartner Research and a big data expert. ”

The big data is true because of advances in technology and appropriate timing. In the 2009, the four key factors affecting the development of science and technology-memory, storage performance, processing capacity, speed-increased exponentially in scale and velocity. The leaps and bounds of these elements are not surprising, but each has its own cycle, and the point at which it reaches its peak is different. So it's not unusual for them to erupt at the same time in large numbers.

In addition, it people are becoming more receptive to new technologies. Beyer believes that there are two extreme scenarios in IT technology: one is technology development that drives performance, and the other is that legacy devices cannot continue to meet data requirements. In the 2010, users began to have more demand for data, it system pressure, the market must develop a way to ease the pressure.

The need for more data and the development of technical support is just right, and the market is getting bigger. So a technological revolution storm evolved into speculation, sweeping the entire industry.

But Beyer said, "Even if it's hype, then what?"

Although all these factors are quite rare to join together, it is not entirely unheard of. In the early the late 1970s 80, when the internet was just born, the industry has encountered such a situation, in the next 15-18 years, this will be repeated, and this time will be the big data age. During this time, the development of large data will constantly challenge the innovation of the industry technology, and build a new way to collect, store and analyze data.

Some analysts believe that the existing large data technology will become ubiquitous in the next few years, Beyer, he believes that these technologies will not be independent development, but is fully integrated into the traditional IT environment.

Hype Cycle life cycle phase

In the middle of August this year, it was also the second year of Big Data fire, with large data appearing in Gartner's "Emerging Technology Hype Cycle" (Hype Cycle for emerging) report. Last year, Gartner listed large data as the "Marvell of the Birth of Science and Technology" (Trigger), the first phase of the hype cycle life cycle five phases. This year, the big data evolved into a second phase, the "peak of inflated expectations" (plateau of inflated expectations), which included the peak of the life cycle and the turning point from victory to decay.

Gartner's assessment of large data has been challenged by some experts.

"While there is real hype in the market for big data, I think it's far from the obvious decline," said Bill Franks, author and Teradata's chief analyst at The Taming of big data tidal wave. ”

Tony Cosentino, vice president of Ventana Research, agreed: "Does every technology have to be hit by Waterloo before it succeeds?"

Experts, however, question not just the arrangement of large data-development cycles, but also their doubts about what they contain in the first phase. This is one of the reasons Gartner chose to make a separate report for big data.

"It's like asking someone about the new Internet in the 1995," says Laura Teller, chief strategist at Opera FX LLC: "The problem now is that big data alone can't really raise business." ”

Cosentino agreed: Big Data is in the change period, there will certainly be many people at the beginning of the "why", but slowly will be converted to "what does it matter." The key to the problem depends on the development of analytical technology.

Cosentino said: "In the oil industry for example, we are from oil extraction to oil refining and distribution development." I don't know if the discovery of oil in 100 years ago has been a hype, so you can't predict the future of technology. ”

(Responsible editor: The good of the Legacy)