Media Data Systems

The big figures, which emerged in 2011 and soar in 2012, may change many aspects of data management in a dramatic way. Large data systems have brought about changes in the management and manipulation of computer data, continuous extraction, transformation and loading functions, operational business intelligence, dynamic large data, and cloud-based data warehouses. However, with large data entering the 2013, there is no system technology more active than the NoSQL database and Hadoop framework, it seems that these two products have more room for development. According to the marketanalysis ....

"2012 China Technology Business Leaders Summit" was held in Beijing in November 2012 16-17th. The picture above is the Executive Director of the New Media Marketing Research center of Guanghua School of Management, Peking University and Sumeng, associate professor of marketing. The following is a transcript of the speech: Sumeng: First of all, thanks to the "IT manager of the world," the enthusiasm of the President of the invitation, today to share with you on the big data and new media research and views. Many of you here are very senior marketing scholars and industry experienced professionals, please criticize. I'm going to spend 5 minutes running data-driven management ...

January 1, 2013 news, Huawei released yesterday's 2013 industry trend Outlook shows that big data will trigger a big change in IT systems. 　　Huawei believes that the IT system of operators and enterprises will become a real-time business system, rather than a post processing support system, which will be a major change in IT systems. The following is the full report: the title of the report: Beyond information and communication, to meet the new round of digital change December 31, 2012, Huawei released the 2013 industry trend outlook The history of human society development is also a history of science and technology development.

The VDC system is divided into four layers: physical layer, virtual layer, management layer, business layer, mainly composed of five parts: virtual resource pool, virtual management platform, operation management system, portal and cloud terminal. Physical layer mainly includes the existing physical hardware equipment and subsequent expansion of physical hardware equipment. The virtual layer consists primarily of server virtualization and storage virtualization. Through the corresponding virtualization technology, a physical computing resource pool and a storage resource pool are formed, so that the upper management layer can dispatch and manage. Management consists primarily of virtual computing management platforms for server virtualization management, virtual storage tubes for storage virtualization ...

Generally speaking of large data technology, there is no doubt that the large data definition of 4V, as well as structured, unstructured data processing, data mining, and high-performance parallel computing. 　　But when it comes to big data applications, it usually seems lean, why? Because we are all thinking about some application of "point", each one of the number of the application case, is not all appear to be more independent, in the business belongs to a certain point? If we can abstract a large class of data applications, or even a segment of an industry, then we are no longer confused and ...

If big data can make a good story, you might be a little surprised. But this is not an argument but a case of a Cross-border innovation summit in the content industry at the big Data age in Beijing on the afternoon of September 6. In the theme of "Cross-border Innovation and Development" Conference, the participants not only media, internet practitioners, as well as the University of Statistics College dean, the founder of the dissemination advisory body. From their own practice and research, they explained the thinking and exploration of the Cross-border integration. A change of concept from production news to production data "2011, beauty ...

The data again "big" no useful is equal to zero, to collect "slow data" "Live data" on the internet every moment in the production of data, people's lives everywhere in the various devices, such as computers, mobile phones, smart appliances, sensors and so on, can always leave traces of human behavior, real-time data generation, These increased geometric levels of data deposition on the Web, become large data. These large numbers of data again "big" no useful is equal to zero, to collect "slow data" "Live data ...

Today, some of the most successful companies gain a strong business advantage by capturing, analyzing, and leveraging a large variety of "big data" that is fast moving. This article describes three usage models that can help you implement a flexible, efficient, large data infrastructure to gain a competitive advantage in your business. This article also describes Intel's many innovations in chips, systems, and software to help you deploy these and other large data solutions with optimal performance, cost, and energy efficiency. Big Data opportunities People often compare big data to tsunamis. Currently, the global 5 billion mobile phone users and nearly 1 billion of Facebo ...

This article describes ways to perform large data analysis using the R language and similar tools, and to extend large data services in the cloud. In this paper, a kind of digital photo management which is a simple and large data service is analyzed in detail, and the key elements of searching, analyzing and machine learning are applied to the unstructured data. This article focuses on applications that use large data, explains the basic concepts behind large data analysis, and how to combine these concepts with business intelligence (BI) applications and parallel technologies, such as the computer Vision (CV) and ... as described in part 3rd of the Cloud Extensions series.

The day after its annual Discover user conference, Hewlett-Packard launched the operating system (OS) Designed for cloud computing, known as the HP Cloud OS. However, in the start-up phase, the software can only be obtained by purchasing HP systems. Hewlett-Packard's vice president and integrated Cloud general manager Saar Gillai said the HP Cloud OS will provide the foundation for our common architecture of the converged cloud. The company's converged cloud strategy is to unify its internal deployment cloud software and cloud services under the same architecture, enabling customers to easily move workloads between the two. He said: