Large data: The gold mine of information re-value

In October 2011, Oracle announced acquisitions of enterprise search and data management company Endeca Technologies, which provides enterprise users with unstructured data management, network commerce and business intelligence technologies;

In November 2011, IBM announced the acquisition of High-performance Computing software company Platform Computing, which has been shining in cloud computing and large data areas;

In February 2012, Groupon bought a start-up company Adku, which uses large data to personalize E-commerce sites such as ebay and Amazon.

March 2012, EMC announced the acquisition of a private agile software development service and tool provider Pivotal Labs in San Francisco;

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In the past two years, IBM, Oracle, EMC, SAP and other international IT giants have launched a wave of the "Big data" market acquisition spree, a total of more than 1.5 billion dollars for the acquisition of relevant data management and analysis vendors, but also make "Big Data" ("large") into "cloud" Then there is a hot term in it and even in the financial world.

The upsurge of large data is generated by the integration of the new generation of information technology, at the same time, the processing and analysis of large data has become the core support of this integration and development. IoT, mobile Internet, digital home, social network and so on are the new generation of information technology specific application forms, large data with these applications growing, cloud computing for these massive, diverse large data to provide storage and computing support platform. It is estimated that the global statistical data storage volume in 2011 will reach the 2.7zb,2015 year of about 1.8zb,2012 year will surpass 8ZB; among them, the growth rate of the structured data is about 32%, but the unstructured data will be one times faster, about 63%. In turn, the analysis of large data, the results of optimization feedback to the Internet and other applications, and further improve the use of experience, and create a huge business value, economic value and social value.

The use of large data will become the key to improve the core competitiveness of enterprises and seize the market opportunities. Over the next 3-5 years, we will see the gap between companies that really understand large data and can exploit large data for value mining and those that do not understand the value of large data mining. An enterprise that really can make use of large data and transform its value into productivity will have a strong competitive advantage and become the leader of the industry.

In the retail sector, the analysis of large data can enable retailers to grasp market dynamics and respond quickly. Wal-Mart has begun to take advantage of the massive sales data produced by the chain stores and analyze it with weather data, economics and demography to select the right shelves in a particular chain of stores and determine the timing of the price cuts.

In the field of Internet, the analysis of large data can provide decision support for business to make more accurate and effective marketing strategy. Websites such as Facebook and ebay are analyzing and digging up massive social-networking data and online trading data to provide point-to-point personalized advertising.

Even in the field of public utilities, large data has also begun to play an important role that can not be underestimated. Many cities in Europe can improve urban traffic conditions by analyzing the traffic flow data collected in real time to guide motorists to choose the best route. The United Nations has also launched a new project called Global Pulse, which wants to use "big data" to promote global economic growth.

Large data is becoming a new engine for the transformation of the information industry because of its huge commercial value and market demand. New products, technologies, new services and business patterns are emerging for large data markets.

On the one hand, the big data faces the effective storage, the fast read-write, the real-time analysis and so on the challenge, will have the important influence to the chip, the storage industry, will also produce the integrated data storage processing server, the memory computation and so on market. Intel has increased support for large data in the Xeon E5 and E7 processors, and has been delving into the large processing algorithms, Oracle's large data machine, integrated with hardware and software in January 2012, and EMC and SAP introduced large-data-oriented memory computing products in 2011.

On the other hand, because of the great value contained in large data, the urgent need for fast data processing and analysis will lead to the unprecedented prosperity of data mining and business intelligence market. IBM has launched data and Business Analytics technologies across multiple platforms, covering everything from mobile devices to data centers to SmartCloud. Microsoft will introduce the Hadoop distributed computing platform in SQL Server 2012 to improve the processing and analysis of large data.

(Responsible editor: The good of the Legacy)