The big data path for industry leaders

Moderator: "SP Computer Products and Circulation" executive editor Wen

Guest: IBM Cloud computing general manager Wang

Intel Data Center Software Department China Regional CTO Miaokai

SAP Vice President strategic cooperation and Channel development general manager Pan

Definition of large data

Moderator: How does Intel view large data, and how is it defined for large data?

Miaokai: We all know that the chip speed of 18 months to double the Moore's law, the speed of data explosion can be said to be similar. 2011, the global total data is 1.8ZB, and annual growth rate is about 60%, the amount of data in 2012 will reach 2.7ZB. We can see that the characteristics of large data is very large, one is the growth rate is very fast, one is very high complexity and value. Therefore, the need for rapid processing, the value of mining out.

The computing platform has undergone three generations of development, from the first generation of mainframe, minicomputer platform, the second generation of PC platform to the third generation of large data cloud platform. Among them, cloud computing is the integration of computing resources, so as to promote the transformation of business model, and finally achieve the goal of saving resources and efficient computing. The key to big data is how to produce value. If the cloud computing and large data as one platform, to achieve the most effective, the lowest cost, can realize to the third generation of computing platform for the purpose of transition.

Moderator: How to extract data from data analysis can not be separated from the cloud computing. We asked the IBM King to introduce us to the relationship between big data and cloud computing.

Wang Shengai: Today's topic is very good, the cloud, big data and partners such a few of the hottest topics discussed. In fact, the most important function of cloud computing platform is to carry the application of large data. Cloud computing is not just a technology, it's more like a combination of technology and business models. Cloud computing is a mutually reinforcing relationship with large data, and the ultimate goal is to experience more value. Let me give you an example: we used to do bi offline analysis, and now we have a lot of data analysis is real-time, very fast. For example, on the November 11 shopping day, the electricity quotient competition is the structure, the unstructured massive data, but solves "the quickest catches the product to arrive" such question, needs to solve through the cloud computing platform, uses the resource pool to expand the storage quickly, realizes the real time data analysis export result.

The aim of large data is to improve the value of precision marketing. I am a bank, banking risk management, precision marketing is a typical large data analysis, in the current very popular insurance industry, medical insurance for the medical industry across the boundary will also create large data needs. If a medical institution has more than 10 years and more than 100,000 data accumulation, it can provide the insurance industry with a very good data model and increase the profits of the insurance industry.

The application of large data

Moderator: SAP's original business focused on the ERP field, and now extends to cloud computing, as well as the field of real-time data analysis. Please pan always talk about the feelings.

Pan: Big Data and cloud computing are important strategies for SAP's future development, as well as new opportunities. The advent of the digital age has changed the behavior of the enterprise, now from the staff to the user, will be very real-time in the enterprise's IT system requirements of services, real-time advice, immediate response, because waiting means backward. To achieve this goal, we must realize the fundamental changes on the platform.

From the whole channel of large data to the ecological environment, it turns out we don't have a lot of dealings with the hardware ecosystem, but now it's not. In the consolidation optimization of large data and cloud computing platforms, we also work with companies like Intel to focus on application suite implementation in the Eco-chain, which can be implemented at IBM's cloud platform, or other partners in the cloud platform. We link SAP's eco-chain to the entire IT industry's eco-chain to form a complete, coordinated relationship that brings new value to users through collaboration. SAP's current partners are more diverse and complementary, including those that provide hardware and software integrators and the platform providers that deploy data management suites. Today, many of the information brought about by mobile, Internet and social networking is not in the past, and the theory of models and sources of data analysis will create a new service model in the future and give birth to "data scientists", the emerging hot job. For example, in the analysis of Internet behavior, SAP reached an agreement with China's largest third-party online retailer last month to upgrade its original service delivery speed, manner and diversity through SAP management platform. Such large data integration, large data technology and hardware and software integration, will bring new opportunities to the ecological environment.

Moderator: Large data and how to implement the cloud computing, inseparable from the joint efforts of partners. Can Wang talk about the ecological chain?

Wang Shengai: The characteristics of cloud computing are not only technology, but also business model and technology combination, and large data is the core. Now the IT industry is inseparable from the ecological chain. A simple example is IBM's global delivery of public cloud services, with over 3,000 ISV partners who have their software running on IBM's public cloud, making it easier for the public cloud to serve corporate users.

and the specific to the large data field, the ecological chain can not be separated from the operators and ISVs and other partners relationship. For example, in the transport industry, through the positioning of the mobile phone base station of the vehicle driver, statistics the user in each base station movement, and uses the mathematical model to calculate, can judge the road congestion condition, and can anticipate the future road condition, lets the GPS point out the quickest route, and prevents the road blockage phenomenon the appearance, Convenient for motorists to travel.

At the same time, in the health care industry's cloud system, you can buy the package in the operator's way, the batch of population data collected daily monitoring, and then a large data analysis, screening different types of problems of users, and then inferred that there is no potential risk of disease, this through the internet of things to collect personal health information, can provide early warning for Disease control.

And so on, we can figure out where the ATM machine in the bank will take care of more withdrawals. Where the gas station should be located will allow more motorists to add to the oil. This is an ecological chain that generates value around a data and brings everyone together. The job of the application provider is to transform the massive data into the data model. IBM as a platform and eco-chain builders, the role of IBM is to roll the ecological chain, increasing the amount of data management and the resulting geometric growth value. This is a combination of business model and technology. Big data is the core of it.

The landing of large data

Moderator: Where can large data services enhance the value of it supply chain services?

Pan: Large data analysis can bring new value to service providers. Service providers can quickly provide new services, and this rapid delivery of services will bring about a huge change in the overall channel development.

In contrast to the traditional channels for providing infrastructure services in the original IT industry, new service channels based on mobile and Internet platforms can help the entire platform provide application services, upgrading the services installed by it implementations to a data service provider that collects fees on a platform-by-time and application-type basis, Transforming the original project based business model into a platform service business model also brings new business opportunities and great changes to the original eco-environment partners. SAP will also invest in some small companies that have just started, they have a very good development concept, can use and our different technology to build a new technology platform, and then help our customers, the future of software will dominate the integration of large data, words say, the software will lead the entire IT industry direction.

Moderator: How does Intel view the change in the mode of cooperation in the big data age?

Miaokai: In my opinion, cloud computing and big data are the biggest changes in the entire IT industry right now. I personally put the big data and cloud computing changes brought about by the 2.0 version of information, if completed, the global IT industry chain will change. In this change, the underlying technology providers such as Intel, the providers of software, virtualization and security technologies, are facing consolidation. Today's enterprise informatization, more is the chimney-type isolation form, and the trend of the cloud, the horizontal integration between the chimney has gone less than half the distance, but in the long run, from virtualization, storage, network to computing, the entire underlying architecture will be integrated together to achieve public cloud, private cloud seamless connection. There are a lot of business opportunities, and we believe that Intel's responsibilities are significant in this integration process and we have a lot of work to do. At the same time, we hope to work together with the industry through the open mode.

Moderator: For "Big data, big change, big challenge", what hope do you have for the partner?

Wang Shengai: A small company in the big Data age if the technology to extract the value of the data, it will overturn the original market situation, this is the opportunity is also a challenge. In addition, large data and cloud computing will reposition it value later. Relocate it from traditional business support to enterprise development and business process reengineering.

Miaokai: The big Data age is the best of times, it's a very exciting time. Intel will explore the opportunities of the big Data age in partnership with the vast majority of ISVs and integrators, based on the principles of openness and cooperation.

Pan: Big changes brought about by large data, but also the future development direction of IT industry challenges. Channel friends can work with SAP at different levels. From business kits, large data management, traditional data management, to the methodology platform of business intelligence and even cloud computing, SAP will have many opportunities to collaborate with the channel. (WU)

(editor: Heritage)