Forbes: Large data or extinction due to early industry standards

"Big Data" (bigdata) may quickly die out as an industry standard, according to Maik Fehren, SevOne chief executive of the network performance management software provider, the Forbes website. Once "big data" becomes "ordinary Data" (anydata), the market winners are undoubtedly the early companies that focus on data acquisition, analysis, storage, sharing, and materialization.

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In the technology industry, hot words appear and disappear at a very high frequency, comparable to the frequency of weekly hot words in the political propaganda media. Unlike most popular words, however, the popularity of "Big Data" (Bigdata) has persisted for several years. "Big Data" has at least become the hot word for the third quarter, if it cannot be the buzzword of the tech industry this year. Companies that engage in or have "big data" businesses are celebrating, while companies that do not or do not have "big data" businesses insist that they are about to have "big data" or that they do not need "big data" because their business focus is different.

However, no one seems to have expressed or realised that the end of the "Big Data" era is approaching, perhaps for years or even months. Of course, we have to be prepared for that.

What is "Big data"

If you're not familiar with this tech-industry hot word, I can tell you that "big data" means a large and complex set of data. It is difficult to use conventional databases and tools to process "big data". Because of their large number, "Big data" is difficult to capture, store, search, share, analyze and materialize. In recent years, the emergence and popularity of "big data" have to a great extent benefited from a large number of data production and data consumption products in the market. including mobile devices, tracking systems, radio frequency Identification technology (RFID), sensor networks, social networks, Internet search, automatic recording system, video files, E-commerce and so on; and the extra information that is generated by analyzing all of this information, which creates another set of large data sets.

Companies chasing "Big data" focus on the relevance of "big data" in determining business trends, improving research quality, and gaining insights into various industries.

So why is such a useful development trend in the field of information science likely to die out soon?

The size of "big data" is always changing, but it tends to increase every year. "Big Data" has grown from the early dozens of TB (1TB=1,024GB) to the current number of PB (1PB=1,024TB) in 2012. Why did it grow so fast? To give a simple example, according to media reports, Facebook users posted 40 billion photos on the site. And I bet that Apple fans will be frantically using iPhone5 to take new photos and then use the Siri voice feature to send photos directly to Facebook.

While the data is growing at an unprecedented rate, it is time to send a condolence card for "big Data".

Become industry standard in advance

In July 2012, Gartner, the authoritative Market research Institute, released its first survey report, "hypecycleforbigdata,2012", which was written for big data. In this professional report, Gartner argues that the hot word "big data" is not going to be popular for a long time because it is a "hype concept". Gartner said: "In other hot word hype process, the relevant market research institutions will be published every year a popular report." But we believe that in the future years, new sources and types of "big data" may be in trouble, and new data will become ' unknown '. Only propaganda can promote the hype cycle (hypecycle). ”

In September 2012, when it came to the flow, speed and variety of business data and consumer network data, Stanley, the famous US investment bank, insisted that, contrary to the "big data" trend, "in data management, The trend we are experiencing now is more about giving users the technology they need to store and analyze any data set, anytime, anywhere, to provide any type or size of data to any type of user. ”

IDC, another authoritative market research firm, predicts that the amount of data to be managed will grow by 50% over the next 10 years, while 95% of the new data are multiple structural data that is growing at a much faster rate than the annual growth of structural data. Morgan Stanley also insisted in its report that "big data" would soon become "regular data" (Anydata). "Based on the size of the IT market announced by IDC, the global data market-related spending will increase to $115 billion trillion by 2015," Morgan Stanley said. ”

Our interpretation of the above reports is that "big data" will soon become an industry standard. This trend is no longer disputed, and in less than three years, large data sets will be commonplace, and only data companies that are far below the industry standard will use the concept of "big data" to mark their database resources.