Big Data Age is coming: the layout of domestic IT companies is already behind

The movie "No Thieves" has such a classic dialogue: "21st century what is the most important?" Talent！ ”。 Now, perhaps the answer will be one more time: data. With the advent of the "Big Data" era, the importance of data will become more prominent.

How important is the future data? Ginni Rometty, the new CEO of IBM (Rometty), is an impressive one. The data will be the next big natural resource, she says, and will distinguish winners and losers from each industry.

Big Data popularity

There is no standard definition of what "big Data" is. Wikipedia has a description of big data: data growth so fast that it is difficult to use the existing database management tools to navigate, difficulties in data acquisition, storage, search, sharing, analysis and visualization.

"Generally speaking, large data is a kind of enterprise phenomenon in the Internet age or information age." "China Software Network, Cao Kaibin, general manager of the research, told Sina Technology, in such an era, any enterprise, especially large enterprises and Internet enterprises, in the course of business will produce a large number of various data." It has several typical characteristics: large amount of data, complex data type, fast processing speed.

A large amount of data means that data is no longer measured in several gigabytes and terabytes, instead, PB (1000 t), EB (1 million t) or ZB (1 billion T) is the unit of measurement; The quantity type is complex because of its complex source, from structured data to unstructured data; It means that the analysis and use of data need to be completed in a very short time, even in real time use.

Cao Kaibin said that this led to the existing data warehousing and business intelligence, such as data processing and analysis technology can not cope with this situation, but the enterprise to the rapid processing and analysis of the demand is very large, so large data will become so fire.

Senior IT personage Xie has a different view of big data. Big data, in his view, is not a new concept, but a pre-existing theory in the fields of physics and biology, only to have no effective means of acquiring large data.

He believes that, in the Web2.0 era, large data should be human-centered, human relations as the basis for information production, exchange, resulting in a huge explosion. At the same time, large data will produce more valuable business models than they are now, and cannot be handled with existing technologies.

Value behind

So, what is the value of big data to the enterprise? In essence, the large data itself does not have much value, based on the processing and analysis of large data can bring enormous value-added value to the enterprise.

Cao Kaibin that large data contains a variety of information on the operation of enterprises, if they can be timely and effective enough to collate and analysis, can be very good, quickly help enterprises to make business decisions, respond to customer demand, enhance competitiveness.

Two months ago, Splunk, a US company that had just listed on the Nasdaq with the big Data concept, made it easy to understand.

Splunk provides an IT data, log analysis software that runs on a variety of platforms, allowing it operators to quickly search for and view the information generated by any it device as it operates in a way that is similar to Google's search keywords.

A simple scenario is that when an IT device has an exception, the IT operator only needs to search for the keyword "error", and the system lists the machine run log containing "error" and shows it in a very good graphical way. It operators can determine the specific time of the abnormal occurrence, specific equipment, and analyze the cause of the failure.

Obviously, the data analysis provides more accurate information than the previous experience of fault diagnosis, which is the charm of large data. So how do companies grasp the opportunities that big data brings?

Singlun, chief executive of Teradata Greater China, said that with the advent of the big data age, enterprises should cultivate three kinds of abilities inside. First, the ability to integrate enterprise data, and secondly, to explore the value behind the data and the ability to develop precise action programmes, and third, to carry out accurate and rapid real-time action capabilities.

"If an enterprise cultivates these three capabilities in information governance, the ability to harness the data age of the future will be enhanced and the challenges faced will be minimized." "Singlun said.

Vendor layout

Singlun's Teradata Company is an intelligent analysis solution manufacturer, which mainly provides data integration, analysis, exploration and data mining for enterprises and government agencies. In the last two years, Teradata has extended business from structured data to unstructured, large data areas through acquisitions.

In 2011, Teradata acquired the cloud computing software company Aprimo and advanced analysis and management of various unstructured data fields aster May 8 this year, Aprimo acquired the cloud based digital marketing European leader ecircle to further strengthen and expand the Teradata large data market business.

The big data, like Teradata, also has traditional it vendors such as IBM, Oracle, Hewlett-Packard, EMC, and Microsoft, who are also entering large data areas through their own research or acquisitions.

Over the past five years, IBM has spent more than 14 billion dollars on more than 20 deals related to data analysis. Oracle, an IT company that started with structured databases, has launched large data machines and intelligent analytics solutions.

Last August, Hewlett-Packard bought the UK software company, Autonomy, with 10 billion dollars, in an effort to expand its market share of business analytics software. Autonomy can extract the meaning of unstructured information through a unique algorithm.

In Silicon Valley, Splunk is just a big data business, and a number of startups are already focused on big data and have been injected with venture capital.

Domestic enterprises lag behind

Compared with the big foreign data, domestic enterprises are not much involved in this field.

"Domestic it, especially software companies in the layout of large data, has lagged behind." Cao Kaibin that this is mainly domestic enterprises in the database, data warehousing, business intelligence and other areas of weak foundation.

However, he pointed out that domestic enterprises still have opportunities in this area, but need to find the industry and entry point.

"I'm more bullish on internet companies, like Baidu, Alibaba, Tencent, and internet companies that have more opportunities than traditional it and software companies," says Cao Kaibin, who is likely to have big data companies in the country. ”

In fact, Alibaba, China's largest e-commerce company, has been using large data technology to provide specific services: Ali credit and Taobao data cube.

To Ali credit loans For example, Alibaba through the grasp of business transactions data, with the help of large data technology to determine whether to give the enterprise loans, the whole process will not be human intervention. It is revealed that up to now Alibaba has lent more than 30 billion yuan, bad debt rate of about 0.3%, much lower than commercial banks.

Taobao data cube is a large data application program on Taobao platform. Through this service, businessmen can understand the macro-situation of the industry on Taobao platform, their brand market situation, consumer behavior and so on, and can make business decisions accordingly.

However, Xie does not think these are real big data. He says the companies that will be able to claim big data in the future would be platform-like companies such as Facebook, Apple and Google.

He says there is no one in the country that really works hard in the direction of big data. "Many companies in the country are splitting up and the product data is not connected," he said. In the short term, this can improve efficiency, but in the long run it's the opposite of the big data direction. ”

Xie predicts that after Facebook's listing, the next great company should be a big data-oriented company and likely to be listed in 2020.

(Responsible editor: The good of the Legacy)