Facebook Metrics Data Set

Editor's note: Data Center 2013: Hardware refactoring and Software definition report has a big impact. We have been paying close attention to the launch of the Data Center 2014 technical Report. In a communication with the author of the report, Zhang Guangbin, a senior expert in the data center, who is currently in business, he says it will take some time to launch. Fortunately, today's big number nets, Zhangguangbin just issued a good fifth chapter, mainly introduces Facebook's data center practice, the establishment of Open Computing Project (OCP) and its main work results. Special share. The following is the text: confidentiality is the data ...

Adam Mosseri, the Facebook product design manager, recently made a great speech: data informed, not the driven (the revelation, not the driver) speech is based on how Facebook uses data to guide product design. It also involves Facebook's product design team architecture, a number of design cases, and how Facebook makes product design decisions. In this paper, the contents are summarized as follows (translation is not translated). 1. Small and fine products ...

How do you improve if your mobile application can only run well in one region, such as us? On @scale Conference, Facebook has talked about the issue many times. So how to design a more suitable application for user needs, here we look to Facebook project manager Chris Marra's developing Android Apps for emerging harsh speech video review. Video please visit the link above (YouTube ...)

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 ...

This content contributor, Lee Feinberg, is the founder of the US Management consulting agency Decisionviz, a bachelor and Master's degree from Cornell University in the United States and a patent for the U.S. PC telephone interface, and is a member of the Cornell Entrepreneur Network and the Sandler Sales Institute. Decisionviz is a consulting firm that helps companies get rid of complex data-reporting problems through visualization technology. Lee is often invited to speak, and he is also the founder of the Tableau Software user group in the York. As early as ten years ...

Guide: Social media KPIs are too cluttered and sometimes confusing. In this article, let's take a look at the social media metrics that you might be concerned with and simply explain the implications and computational methods. In a dazzling array of social media acronyms, "KPI" puzzles me most. This is because key configured indicator always reminds you of a business person in a suit and a PowerPoint presentation. But the word is not complicated. KPI summed up is actually ...

Some problems faced with large data OLAP analysis release time: 2012.05.16 09:25 &http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; Source: Sadie Network Author: OLAP analysis requires a large number of data grouping and inter-table association, which is obviously not nosq ...

From the Silicon Valley firm, to everyone's discussion of the bubble problem, how large data and artificial intelligence combined? What is the prospect of science and technology in the 2015? Dong Fei, a Coursera software engineer from Silicon Valley, sorted out the dry goods and various occasions in his recent Stanford public lectures to share with you. He has a hands-on experience, as well as a detailed analysis of some of the companies that have worked or studied in depth, such as Hadoop, Amazon, and LinkedIn. Dong Fei page Here, the mailbox is Dongfeiwww@gmail ....

For telecom operators, no era can shoulder the 4G era, easy to master such a large number of customer data. 4G ERA, mobile phone shopping, video calls, mobile music downloads, mobile games, mobile phone IM, mobile search, mobile payment and other mobile data services in endlessly. They are creating unprecedented new experiences for users, while also providing a large data perspective for telecom operators to tap the value of user data. Data mining, data sharing, data analysis has become the global telecommunications operators to change the business model to win in-depth business insights of the basic consensus. At present, the world's 120 operations ...

It is estimated that by 2015, more than half of the world's data will involve hadoop--an increasingly large ecosystem around the open source platform, a powerful confirmation of this alarming figure. However, some say that while Hadoop is the hottest topic in the bustling Big data field right now, it is certainly not a panacea for all the challenges of data center and data management. With this in mind, we don't want to speculate about what the platform will look like in the future, nor do we want to speculate about what the future of open source technology will be for radically changing data-intensive solutions.