ETU releases the Big Data solution The Asian leadership brand officially enters the Chinese market-products and technologies

"Sadie Network News" May 31, 2012, Jingcheng Group officially released its big Data solution brand--etu (known intent) in Beijing, designed to provide users with a combination of soft and hard end-to-end care industry solutions, directly solve the user's specific problems, enhance the value of specific business links. ETU aims to become Asia's big data solution leader, integrating international partner technologies and applications, and partnering with industry partners to help companies tap business intelligence from the data that emerges every day and identify more untapped potential opportunities. ETU's strategic partner, the founder of Hadoop, and Dr. Charlie, also attended the launch ceremony.

The revolution of the big data age, business ready?

The market size of big data will grow from $3.2 billion trillion in 2010 to $16.9 billion in 2015, with an average annual growth rate of nearly 40%, according to an analysis by IDC, a renowned market research firm. 2020 new digital information growth will be nearly 45 times times 2009, but the traditional standardized, structured data accounted for only about 15%, 85% of the data from a wide range of information activities in the enterprise, E-commerce, Internet of Things, or semi-structured and unstructured data in areas such as outside social networks.

Jingcheng Cloud Center and ETU head Courio said: "ETU is the sincere development of the big data cause of the brand name, from the Chinese" intention ", the representative found the market" intention ", insight into the psychological needs of consumers. We provide a one-stop solution from the point of view of the customer, which integrates and optimizes the software and hardware, through the ETU appliance the semi/non-structural data processing, the transformation produces the easy to understand figure and the chart, lets the enterprise excavate the consumer not to say the demand or the purchase intention. ETU's mission is to simplify and optimize the big data value extraction process, to help enterprises embrace the Hadoop cloud data computing platform, improve profitability and reduce risk. ”

Etu the real value of large data expression

The commercial value of large data is immeasurable, and more and more enterprises realize that large data has great commercial value. Large data analysis is an enterprise must face in the future development process, large data analysis means that the enterprise can obtain new insights from these new data, and integrate it with the details of the known business. The more comprehensive the data used for analysis, the closer the results are to the real, and the companies that are able to use these new data patterns can often build sustainable development and gain a competitive market environment.

Courio said: "Gartner's latest survey results show that business intelligence and analysis in 2008, 2009, and 2012 are the first priority technology projects for CIOs in the year." The difference is that since the 2012 business intelligence and analysis requirements, it is clear that big data is a new element that cannot be missed. “

Large data, like ordinary data, from production to processing, to the value of extraction, and finally to be consumed, there is a process, each step, every link is faced with a very high technical threshold, which often makes many enterprise users face large data prohibitive.

The development and catalysis of a new type of data-processing platform to solve the current massive and diverse information extraction and to meet the future growth needs, this is ETU constant pursuit of the goal. ETU with a special simplification and optimization integrated design of the combination of software and hardware, to join the industry's massive data processing of professional service elements, so that users can focus on business and enhance competitiveness, without worrying about technical processing issues. As Cus said: "To create a suitable big data strategy, will be the foundation for the success of enterprises, complex technical and system details, to ETU to deal with." ”

ETU will support the billions of users of the public cloud data processing technology, implemented in a simple and horizontal expansion of the architecture, from TB to PB-level data processing, preprocessing, maximum mining data business value, to achieve the growth of the momentum of online exploration. Enterprise-class application performance, carrier-level high availability, high reliability and security, and high data analysis capabilities for all data types, will eventually make the contribution of online reuse to create differentiated services for users and enhance overall competitiveness of users.

Etu, moving from big data to total data

Traditional DB, data Warehouse is mainly good at dealing with structured data, that is, the data stored in the common relational database, but the ability to solve the semi/unstructured data is not strong, let alone to carry the mass of the accompanying.

"The traditional structured data processing and analysis of the enterprise is mainly divided into two OLTP and OLAP, which rely on the ETL means to connect." Now the enterprise can introduce the big data refining platform such as Etu appliance, and make the semi/unstructured data preprocessing for OLTP and OLAP; On the other hand, the results of OLTP and OLAP can be fed back to ETU appliance to form total Data Processing and analysis cycle "Jiang Yu said.

China, ETU confident

From the two years ETU team actually to the United States to participate in the big data, Hadoop-related activities, with the United States to lead the big data market, divided into noun (manufacturers) and Pure-play (new company) two factions, which can meet market demand resources, In fact, they are still very much consumed in the United States. From the point of view of resources and support, this gives Asian regional market competition, for a period of time and space, can strive to in a potential block, to make user value.

So back to the market, the test of regional providers, is how to let users willing to pay? The most realistic problem is that users are unfamiliar with the new technology of big data and uncertain mentality of investment benefit. Now large internet companies, almost all recognize the Hadoop ecosystem's big data processing technology advantages and can bring to the end-user experience improved value, but for other industry enterprises, how to integrate and extend the value of traditional structured OLTP and OLAP, is the key to market proof for large data solution providers.

In the face of the challenges of the Chinese market, ETU, in addition to advanced technology, mature concept of the big Data solution, as well as a deep understanding of the industrial environment, there is also a very outstanding team. Long before the birth of Apache Hadoop, ETU core members have been deep into the development of big data processing technology, participated in world-class large-scale online service development and system management operations, in the business environment to run hundreds of to tens of thousands of nodes in the service cluster, the implementation of advanced technology industry practice verification. ETU several members have the industry's current rare Hadoop professional certified Cloudera certified Developer/administrator for Apache Hadoop.

"China, ETU has confidence. "Although the establishment time is not long," said Jiang Yu although faced with a new brand of unfamiliar challenges, but in China, ETU already has a number of Chinese Academy of Sciences, including the world's top international cooperation technology partners, to assist the sincere Rio Tinto China market more than 10 years of gold sales team, as well as a number of other business partners.

From the world to China, the big data will eventually go to total data, complete the integration of the enterprise information, believe that Etu, will be a significant participant in this process.