Domestic cloud computing pilot City development Achievement

The first China cloud Computing conference was opened in June 2013 5-7th at the Beijing National Convention Center. The Conference, with an international perspective, insights into global cloud computing trends, and from the application, explore cloud computing and large data, cloud computing and mobile Internet, cloud security and cloud computing industry applications, such as the focus of the topic. In particular, the Conference has set up a cloud computing services display area, exchange the latest research results of international cloud computing, showcase domestic cloud computing pilot City development achievements, share cloud computing development experience, promote global cloud computing innovation cooperation.

David Menninger, vice president of global business development and strategy at pivotal, sees big data changing the world. The method of using data also needs to change, only in this way, the enterprise can obtain the advantage of development. "In the past, BI analysis was done through the Data warehouse. 90% of the expenditure is also in this respect. In the enterprise, a lot of time in these work: integration, convergence, analysis. The work is complex, and the data organization is analyzed first and then summarized. 10% used in these areas, 2 days ago at the domestic EMC CIO Symposium, there are few companies using Hadoop. But we can feel that some companies are already in the first instance. ”

David Menninger, vice president of global business development and strategy, pivotal

Data storage requires balanced consideration of cost and performance. Hadoop has changed the economic map. Distributed system can realize parallel storage and parallel analysis, and can realize different analysis on different distributed information. It's 10 times times more cost effective. Structured data is the past, 5 years ago, can be used as structured data parallel analysis, generally a special processing of 100,000 dollars. Today, with Hadoop, the same amount of information can be done with a single node of 2000 dollars.

A new era has come. The change is immense. Hadoop, for example, lowers costs and is more obvious in cost-performance advantages. And now there are different ways to do data analysis, historical data, simple analysis can be achieved. And now the mass, simple tools no longer useful. To this end, a new concept has emerged-digital science (corresponding to, data scientists).

Abstract the hidden knowledge of the data to the purpose of service for business and other applications. Today, data can still be analyzed in a data warehouse or data mart. But for more unstructured data, such as customer relationships and customer value analysis, new technologies and tools are needed. such as a new product before the market, all kinds of forecasts and marketing methods to predict the plan. For example, through the user's behavior habits, time, how much potential value of the assessment. For example, through the customer 30 days, 30 days after the customer value forecast and analysis will, ordering and payment and other behavioral analysis to the sales, marketing solutions brought about by the in-depth impact.

New data sources, unstructured data will bring more changes. For example, voice into text analysis, collection of social media network evaluation, etc., will help enterprises more comprehensive understanding of customers. In North America, the process of interacting between different systems needs to be tested, such as the profitability of each product, the profitability of each customer. They need to deal with a lot of data (6-11TB), and through our program has been very good results. In addition, there is an analysis of customer loyalty through social networking.

In his view, system management, there are three aspects of the problem: the amount of data generated, qualitative and quantitative information, the overall customer experience expectations are high. "We can provide solutions, customer and partner feedback systems, monitoring Key West can get indicators, system quality and behavior modeling, etc." This can be properly resolved. ”

Pivotal is a new member of the EMC family, with EMC accounting for 62%, VMware accounting for 28%, and GE calculated (GE sees large data development prospects and is willing to participate).

On the third platform, consumers will dominate. To do this, the background needs to be more powerful. Proprietary data center and infrastructure, Google,facebook,amazon and Yahoo!. Highly automated and large-scale operation, and at the consumer level, there will be a very big change, specifically: massive data storage and computing, rapid application development, accept massive events and real-time response, and traditional applications and infrastructure interaction.

Pivotal One is a new platform that contains three major parts: Data structures, application structures, and cloud structures. Among them, Hawq is very unique, both hbase and mppsqlbase, better realize the data flow and analysis. In the benchmarks of HAWQ, the value is very high.

These two graphs are extremely high in gold. Please note that technology developers.

This enables fast application meals, easy to move between development, testing, and production, and can be automatically deployed and scaled for multiple languages and frameworks, industry-leading java/spring runtime support, loosely coupled, instant service binding, and by default analytical instrumentation and visualization. The data structure is spring and vfabric. The application architecture consists of three aspects: Language and framework, service, and analysis. In addition, Pivotal Labs is also noteworthy.

David Menninger said: "Pivotal now 1200 people, 700 people are engineers, the future will do better." Pivotal represents a change, a new era needs a platform for the enterprise to provide consumer-level functions. ”

(Responsible editor: The good of the Legacy)