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Translating large data into large value practical strategies

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 ...

Cloud practice and large data outlook

Zhang Fubo: The following part of the forum is mainly four guests, talk about cloud practice. Beijing First Letter Group is the Beijing government's integration company, mainly responsible for the capital window of the construction, they are also in the domestic, in the government industry earlier in a company, as the first letter Group Technical Support Center General Manager Zhang Ninglai for us to do the report. Zhang: Good afternoon, we have just introduced, I am from Beijing First Letter Development Co., Ltd., I bring today is the result of our practice in cloud computing technology these years. Today is mainly divided into three parts, we mainly do is the field of e-government applications, we are mainly ...

Research on parallel Data mining tool platform based on cloud computing

With the development of telecom industry, the competition among telecom operators has become fiercer. In order to win in the competition, the right business strategy becomes the key link of the telecom operator's success. Telecom operators have a large number of user data information, using data mining technology, can be in billing data, business order data, network management data, such as the mass user data found business knowledge, for the market to lay the foundation for precision marketing. With the expansion of China Mobile users and the diverse demands of application targets, data mining applications face new challenges. First of all, the user size is growing, by a large number of users produced a huge amount of data, including ...

The future of big data in the cloud

Data is growing exponentially, and unstructured data from social media (micro-credit, micro-blogging) and sensor devices has received increasing attention, along with structured data from traditional enterprise trading systems, which could lead to a new round of industrial change.   Words such as machine learning, natural language processing, and public opinion analysis are reported almost daily in the media, but few are really talking about their large-scale applications. Today, almost everyone in the corporate CIO is talking about big data, and many people think that big data is a Hadoop cluster that puts all the ...

Cloud Security alliance: An important risk list for cloud computing

Some of the most important risk lists for public cloud computing are broad and complex, such as the Cloud Security Alliance's 1.0 edition of the important risks of cloud computing. Most risk lists contain the following items: 1, network security from the point of view of IT managers, this one is still the first to take the lead. This article also includes some data protection and privacy subcategories, from the physical security and application security of software that is a service provider (SaaS), as well as over advertising leaks. Steve MacLellan is a senior in the Financial Services Enterprise Architecture of the Boston Fidelity Technology Group.

Analysis and discussion on the basic structure of website Data Warehouse

Intermediary transaction SEO diagnosis Taobao guest Cloud host technical Hall The purpose of the data Warehouse is to build an integrated data environment for analysis, and to provide decision support for enterprises (Decision Support). In fact, the data warehouse itself does not "produce" any data, at the same time does not need to "consume" any data, data from the outside, and open to external applications, which is why called "Warehouse", not called "factory" reasons. Therefore, the basic structure of the data warehouse mainly contains the data inflow and outflow process, can be divided into three layers-source data ...

Cloud Security alliance: An important risk list for cloud computing

Some of the most important risk lists for public cloud computing are broad and complex, such as the Cloud Security Alliance's 1.0 edition of the important risks of cloud computing. Most risk lists contain the following items: 1, network security from the point of view of IT managers, this one is still the first to take the lead.      This article also includes some data protection and privacy subcategories, from the physical security and application security of software that is a service provider (SaaS), as well as over advertising leaks. Steve MacLellan is the Boston Fidelity Technology Group ...

Recent advances in SQL on Hadoop and 7 related technology sharing

The greatest fascination with large data is the new business value that comes from technical analysis and excavation. SQL on Hadoop is a critical direction. CSDN Cloud specifically invited Liang to write this article, to the 7 of the latest technology to do in-depth elaboration. The article is longer, but I believe there must be a harvest. December 5, 2013-6th, "application-driven architecture and technology" as the theme of the seventh session of China Large Data technology conference (DA data Marvell Conference 2013,BDTC 2013) before the meeting, ...

The confusion of big data

It has been almost 2 years since the big data was exposed and the customers outside the Internet were talking about big data. It's time to sort out some of the feelings and share some of the puzzles that I've seen in the domestic big data application. Clouds and large data should be the hottest two topics in the IT fry in recent years. In my opinion, the difference between the two is that the cloud is to make a new bottle, to fill the old wine, the big data is to find the right bottle, brew new wine. The cloud is, in the final analysis, a fundamental architectural revolution. The original use of the physical server, in the cloud into a variety of virtual servers in the form of delivery, thus computing, storage, network resources ...

Do you think about the transition? Top professional TOP10 in cloud computing

In the current job market, all the jobs related to cloud computing, the competition is extremely fierce, such a market, can cross the professional work of it people most sought-after. Recently, the well-known Technology employment website Dice.com released a post, which listed 3800 cloud related occupations. In these thousands of occupations, researchers refine, sift, and eventually list the hottest 10 occupations in the cloud computing field. The following job descriptions, as well as certificate requirements, are mentioned repeatedly in all types of cloud related work. 1, Cloud Architect Job Description: development and implementation of cloud infrastructure to ensure system scalability, can ...

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