Challenges and needs in the big data age

Background of the big data age

In recent years, with the popularity of the internet, smartphones and sensors, information flow has exploded, according to the Greenit agreement will be statistics, 2025, the social Information will soar to 2006 200 times times. As more and more http://www.aliyun.com/zixun/aggregation/32834.html "> Insiders start talking about" big data ", is it possible to have all the huge data volumes labeled" Big Data "? The accurate definition of large data should be the use of existing technology or systems difficult to deal with, analysis of a large number of types of data, that large data has the following characteristics:

1, the amount of data is too large to deal with;

2, information processing timeout, can not be in a reasonable time to extract the information to help business decision-making;

3, need to use complex, and even have not used to date data processing methods.

Large data are found in a wide range of core areas, including networks, communications, finance, logistics, manufacturing, and government. Taking the financial industry as an example, the large data solution analyzes the large number of operation resumes produced in the use of credit card, summarizes the consumption habits and preferences of different ages and genders, and then makes the promotion strategy in a targeted way, and besides, it can find out the illegal use situation as soon as possible.

The penetration rate of large data in the core area is obvious to all, but the 2010 Annual Information Circulation Survey report shows that the proportion of unused information is as high as 99.4%, and the higher information value that exists in the unused part cannot be effectively exploited and exploited. In the background of large data era, enterprises take the lead in adopting solutions to solve the problem of low utilization of data resources, so as to grasp the opportunities brought by large data and open up the gap between them and become the leader in the industry.

Figure: 99.4% of unused information

Large Data Solutions

The whole process of large data processing is divided into three stages:

Data collection, collecting information from sensors and machines

II. Data processing consolidation to respond to rapidly increasing data

Third, data analysis, provide all kinds of data processing.

Accordingly, large-data-integrated solutions should provide all the functions of data processing, collect information from sensors, handle large amounts of data, and provide high value-added through media data processing. China really to achieve large data landing, the first step to do is the collation and collection of data, how to effectively manage and store data, is a big data manufacturers in China to implement large data solutions challenges, but also opportunities.

Large data Total solution framework for NEC

NEC (China) Co., Ltd. Software sales Minister Li Yong in the "CCS Cloud Computing Peak Forum" in the speech to introduce the NEC in the large data research and initiatives, there are listeners on the spot to express their benefit and hope to in-depth exchanges with NEC.

NEC has a complete large data product line, combined with the specific needs of customers to provide customers with a wide range of data processing technology, and customers to determine the purpose of using data and analysis methods, for customers to develop personalized large data solutions.

Large data technology Framework for NEC

At the level of data processing and merging, the new database software Infoframe Elastic Relational Store provides flexible scalability and high availability to cope with data growth, which solves the problem of horizontal scaling and processing speed that traditional databases cannot solve. The Infoframe Databooster is a memory-type high-speed data processing engine based on column storage, the data processing speed is 40 times times higher than the traditional RDB, and the processing speed can not be achieved through database optimization.

Minister Yong said that NEC large data overall solution is to the customer to build a practical data processing platform for the purpose, so that "improve data information utilization" there is a real feasible basis. NEC is on the road to the big data market and believes that the future will continue to bring more products and solutions to the market.