Massive Data Analysis

The author of this article, Shesu is Admaster data mining director, Cloud computing practitioners, 10 data warehousing and data mining consulting experience, is focused on the distributed platform of mass data mining and machine learning. The following is the full text of the article: with the Internet, mobile Internet and the development of things, no one can deny that we have effectively ushered in a massive data era, IDC, a data-research firm, expects 2011 data to reach 1.8 trillion GB, and the analysis of these massive data has become a very important and urgent requirement. As an Internet number ...

Microsoft recently announced the development of a open-source version of Hadoop compatible with Windows Server and Windows Azure platform. IBM announced the creation of a new storage architecture on Hadoop to run DB2 or Oracle databases as a cluster to enable applications to support high-performance Analytics, data warehousing applications, and cloud computing purposes. EMC has also launched the world's first custom, high-performance Hadoop dedicated data processing equipment--greenplum HD Data computing equipment, providing customers with the most powerful 、...

At the beginning of this year, Google Analytics products to support the statistical action operating system app use data, news, let the domestic mobile internet people. Vpon Inc., a well-known mobile brand advertising platform from the mainland, announced at the beginning of this month that its development team has developed a massive cloud structure based on Hadoop to develop a 3S system that supports massive data mining, analysis, and processing (Sales supporting system), It will take the lead with Google, Yahoo, face ...

The combination of cloud computing and massive data analysis is destined to be used together. The cloud computing model basically allows users to leverage the infrastructure and related expertise provided by the service provider without having to build it in-house. Thankfully, massive data has been organically combined with cloud computing. Experts predict that future investment in this area will gradually increase. Several companies have merged cloud computing with massive data and launched a unique service. Quantivo Quantivo just announced its entry into the market in Tuesday and launched a cloud-based data analysis platform. ...

In recent years, search engine marketing in the field of network marketing more and more fiery, whether in the developed regions in Europe and America, or in China and other developing countries, search engine marketing has gradually become the theme of Internet marketing. 　　Not only because of the fiery search engine led to the development of search marketing, but also because everyone in how to do a good job search engine marketing their different views let search engine marketing more and more hot. is search engine marketing difficult? Not。 Search engine marketing is through the keyword ads for the main presentation of the form of advertising, keyword ads up to a dozen words of the title and the content of nearly hundred words description, can carry the number of letters ...

Today, "Bigdata" (large data) the advent of the era has been no doubt, especially in the telecommunications, financial and other industries, almost to the "data is the business itself". One of the more important trends in this is the socialization of data (socialization of 挟裹). From the blog forum to the gaming community to the microblog, from the Internet to the mobile internet to the IoT, the real-time networking of human beings and various physical entities has been and will continue to produce incalculable data. For the enterprises that always focus on the market, they ...

As a long history of development and relatively mature ecosystem, radio and television industry plays an important role in the process of China's modernization construction. However, with the rapid development of the communication carrier and the content of the Internet, especially the social network of micro-blog and micro-credit and the new media, the impact on the traditional radio and TV system is more and more obvious. So, in the context of the big Data era, how to deal with radio and television? How to choose a suitable platform? 　　How to tap and use large data technology to achieve "network linkage" to provide more quality services? To this end, the dawn with a solid large number ...

With the development of the Internet, mobile Internet and IoT, no one can deny that we have actually ushered in a massive data era, data research company IDC expects 2011 total data will reach 1.8 trillion GB, the analysis of these massive data has become a very important and urgent demand. As an Internet data analysis company, we are "revolt" in the field of analysis of massive data. Over the years, with stringent business requirements and data pressures, we've tried almost every possible big data analysis method, and finally landed on the Hadoop platform ...

Experimental analysis on computing performance of massive data based on GemFire Xu Xiang, Shiming, Lio, Zhu Yu in this paper, a distributed Memory database experiment platform based on GemFire is proposed for the real-time and dynamic scalability processing of high performance computation of multi-source dynamic mass data in traffic field. Using the key-value data storage structure and the distributed dynamic member relationship, the computational performance of the floating vehicle system is tested and analyzed by loading the real data of the float car in the whole cloud computing architecture. The experimental results show that the platform can shorten the computation time of tens above large data to 10 of the original system.

Large data processing technology is changing the current operating mode of the computer. We've got a lot of revenue from that because it's the big data processing technology that brings us search engine Google. 　　But the story is just beginning, and for several reasons, we say that large data processing technology is changing the world: * It can handle almost every type of data, whether it's microblogging, articles, emails, documents, audio, video, or other forms of data. 　　* It works very fast: practically in real time. * It's universal: because it's ...