Data Access Logic Component

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User Experience Analysis: Micro-blogging component revisions

Intermediary transaction SEO diagnosis Taobao guest Cloud host technology Hall written in front of the micro-Bo component is a micro-Bo open platform for Third-party users to provide access to the Web site without the need to develop component products. The content of the microblog will be exported to the third party website, the users can interact with each other on the third party website, share the content, synchronize the information to the microblog, and improve the user activity of the third party website.   The revision involves the number of micro-blogging components 14, mainly including friends selector, Publisher, sharing window. Design process and previous product revision process is different ...

Component blocks Windows Azure uses to build powerful cloud applications

Following the publication of a design-strong cloud Application blog, the http://www.aliyun.com/zixun/aggregation/13357.html ">azure CAT Team Program provides code projects for publishing on the MSDN code base Detailed information and technical Instructions for components in the cloud services infrastructure in Windows Azure. We will launch a series of blogs and technical articles to illustrate the use of these basic building blocks, which we call components. In the next ...

Yashiyang: How does the large data of the letter apply to the technical aspects

2014 Zhongguancun Large Data day on December 11, 2014 in Zhongguancun, the General Assembly to "aggregate data assets, promote industrial innovation" as the theme, to explore data asset management and transformation, large data depth technology and industry data application innovation and ecological system construction and so on key issues. The Conference also carries on the question of the demand and practice of the departments in charge of the government, the finance, the operators and so on to realize the path of transformation and industry innovation through the management and operation of data assets. In the afternoon financial @big Data Forum, Asia ...

Foursquare split logic: the force will recommend and search

In 2013, Foursquare CEO Dennis Crowley spent the year trying to tell the world that Foursquare was no longer what it used to be. And now, the Foursquare app is going to be split (with a new app, Swarm) that is battling fights against Yelp and is going to go beyond the "check-in" artifact in the mind. In 2009, Foursquare this company with a dazzling ...

How to hold the double 11 data flood peak of 180 million / sec? Ali flow computing technology

In the case of double 11 singles day traffic peaks this year, the real-time data update frequency is still stable: from the first second, the rushing party into the order payment, to complete the real-time calculation and delivery to the media full screen full path, seconds Level response.

Hadoop becomes a big Data key component

Today, Apache Hadoop technology is becoming increasingly important in helping to manage massive amounts of data. Users, including NASA, Twitter and Netflix, are increasingly reliant on the open source distributed computing platform. Hadoop has gained more and more support as a mechanism for dealing with large data. Because the amount of data in the enterprise computer system is growing fast, companies are beginning to try to derive value from these massive amounts of data. Recognizing the great potential of Hadoop, more users are making ...

Structural design analysis of anatomical twitter:twitter system

With the explosion of information, micro-blogging website Twitter was born. It is no exaggeration to describe Twitter's growth with the word "born". Twitter has grown from 0 to 66,000 since May 2006, when the number of Twitter users rose to 1.5 in December 2007. Another year, December 2008, Twitter's number of users reached 5 million. [1] The success of Twitter is a prerequisite for the ability to provide services to tens of millions of users at the same time and to deliver services faster. [2,3,4 ...

Data cleaning and feature processing in machine learning based on the United States ' single rate prediction

This paper mainly introduces the methods of data cleaning and feature mining in the practice of recommendation and personalized team in the United States.   In this paper, an example is given to illustrate the data cleaning and feature processing with examples. At present, the group buying system in the United States has been widely applied to machine learning and data mining technology, such as personalized recommendation, filter sorting, search sorting, user modeling and so on.   This paper mainly introduces the methods of data cleaning and feature mining in the practice of recommendation and personalized team in the United States. Overview of the machine learning framework as shown above is a classic machine learning problem box ...

The protection and storage of enterprise's massive data

Existing problems in the 20th century, the protection of important documents by enterprises mainly by the use of safes to save, and send people to protect. In the 2l century, enterprises began to fully implement automated office, computer networks become information processing and storage tools. However, because of the sharing and diffusion of the computer, the information can be easily leaked and stolen in the process of processing, storing and transmitting. According to the survey, up to the first half of 2007, rising company to accept the help of the injured user has reached more than 100,000 people. Then the information security technology follow-up, the Enterprise's information safety hidden more attention ...

When big data encounters cloud computing changing it world?

Big data is changing the IT world completely. So, what kind of data can be discussed? According to IDC, global data will increase 50 times times over the next decade. In 2011 alone, we will see large data creation of 1.8ZB (i.e. 1.8 trillion GB). This is equivalent to every American writing 3 tweets a minute, and still writing for 26,976 years. Over the next decade, the number of servers managing the Data warehouse will increase by 10 times times to cater for 50 times times larger data growth. There is no doubt that large data will challenge the enterprise's storage architecture and data ...

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