What Is Real Time Data

Intermediary transaction SEO diagnosis Taobao guest Cloud host technology Hall with the continuous development of the Internet, the information more attention to real-time, micro-bo popular, search engines have launched real-time search function, but for the site analysis of real-time data is more meaningful? Actually look at the data to look at the report people often want the data the more real-time the better, they want to master the site every hour or even every 10 minutes of change, able to the current situation of the site at hand, can find problems and quick response. But in fact if you ask them after they know the real-time changes in the site data ...

With the continuous development of the Internet, information more attention to real-time, micro-bo popular, search engines have launched real-time search function, but for the site analysis of real-time data is more meaningful? Actually look at the data to look at the report people often want the data the more real-time the better, they want to master the site every hour or even every 10 minutes of change, able to the current situation of the site at hand, can find problems and quick response. But in fact, if you ask them when they know the real-time changes in the site data, or in a certain period of time the site traffic suddenly surge or play ...

The era of large data is gradually coming, unfortunately many enterprises are not ready, many areas are still urgent to awaken. 　　"Data mass, lack of information" is a considerable number of enterprises in the data after a large concentration of embarrassing problems. In the electric power industry, with the development of intelligent power grid construction, the mass information generated by power grid operation is exponential growth. 　　Gathering point more and more, conventional dispatching automation system hundreds of thousands of points, and the distribution of electricity, data center will reach millions or even tens. Power large data analysis imminent current, power grid business data broadly divided into three categories: first, electric power enterprises ...

Real-time data processing application of cloud computing based on storm in automatic clearing system Hu Yuzhou Van Ku Kendao Miuli The large data problem brought by the increasing passenger traffic in the rail transit industry, this paper puts forward the method of using Strom cloud computing technology to solve this problem, and proves that the cloud computing technology is fully applicable to the track automatic traffic ticket (AFC) clearing system (ACC), the application of Storm cloud computing in processing the real-time data service of the clearing system is discussed. The practice shows that the cloud computing based on storm is fully applicable to rail transit ...

Absrtact: Abhi Talwalkar, president and chief executive of LSI Company, recently, at the sixth annual Accelerated Innovation Summit (AIS), the President and CEO of LSI company Abhi Talwalkar proposed that the data center has never had such a huge strategic impact on the success of the enterprise as it is today. LSI company president and CEO Abhi Talwalkar recently, in the sixth annual Accelerated Innovation Summit (AIS), LSI company president and CEO Abhi Talwalkar, the number ...

Absrtact: Anagog is the use of real-time data parking solutions, and the general parking app is not the same, it is not an independent application, but in the way of Open SDK operation. Anagog's data come from mobile terminals that are not in use, and the detection of sensing anagog through mobile devices on the vehicle is a parking solution that utilizes crowdsourcing real-time data, unlike the general parking app, which is not an independent application but operates as an open SDK. Anagog's data come from mobile terminals that are not used, and are detected by mobile devices on the vehicle.

Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest cloud host technology Hall Recent real-time data analysis fried very hot, because we are more and more understand the truth of the data health. Anametrix Real-time data platform has just received a 4.4 million dollar a round of financing, the company is prepared to use these funds to increase resources to meet the increasing number of users market points ...

According to Gigaom, Facebook and Yahoo! released some details of their live multi-system real-time data flow management tools last week. In this one, Storm-YARN, announced by Yahoo! and open source, is based on YARN (Hadoop 2.0) and Storm, bringing a much tighter set of Storm and Hadoop clusters - borrowing Hadoop batch clusters even from Storm when needed Ability. Wormhole Integrated Surveillance System, Ability to Support Capacity Planning, Automated Repair, ...

Recently, LinkedIn Open source has a technology--samza, it is a distributed flow processing framework, dedicated to real-time data processing, very much like the Twitter stream processing system storm. The difference is that Samza is based on Hadoop and uses LinkedIn's own Kafka distributed messaging system. Storm and Samza are very similar, as LinkedIn's Chris Riccomini blog: "[Samza] can help you build applications, process message queues ——...

Reporter Shao Yi This news recently, China Unicom officially implement international data roaming reminders business, when users use international roaming data every day to reach 10 trillion, that will receive free SMS reminders.　　This will enable users outside the use of micro-blogging or other mobile internet business, to avoid the situation in their own ignorance of the case of a single day tariff near thousand yuan situation. "Travel abroad, meet the beautiful scenery to shoot down, put on the micro-blog to give people appreciation, or will be recorded along the way, and friends to share, such people now more and more." But most people have a lot to do with ...

Facebook's Open Source Computing project (OCP) has been open source for its data center architecture and hardware design. Yesterday, Facebook released its data center real-time monitoring data. All Chinese readers who can flip over the wall can see almost real-time Facebook data center monitoring data--prineville, OR and Dara City, NC on the following two Facebook pages. We can now see the detailed data within 24 hours in this panel and a ...

The primary task of the Microsoft Digital Crime department in combating cybercrime is to protect users. We know that cleaning up the user's computers around the world that infect malware is as important as breaking the threat, so we launched the http://www.aliyun.com/zixun/aggregation/3022.html in 2010 ">project MARS (Microsoft Active Response for security) program ...

Facebook's Open Source Computing project (OCP) has been open source for its data center architecture and hardware design. Yesterday, http://www.aliyun.com/zixun/aggregation/1560.html ">facebook also released its data center real-time monitoring data. All Chinese readers who can flip through the wall can see almost real-time Facebook data center monitoring data--prinev on the following two Facebook pages ...

"Csdn Live Report" December 2014 12-14th, sponsored by the China Computer Society (CCF), CCF large data expert committee contractor, the Chinese Academy of Sciences and CSDN jointly co-organized to promote large data research, application and industrial development as the main theme of the 2014 China Data Technology Conference (big Data Marvell Conference 2014,BDTC 2014) and the second session of the CCF Grand Symposium was opened at Crowne Plaza Hotel, New Yunnan, Beijing. Star Ring Technology CTO Sun Yuanhao ...

December 2014 12-14th, hosted by the China Computer Society (CCF), CCF Large data Experts committee, the Chinese Academy of Sciences and CSDN co-organizer, to promote large data research, application and industrial development as the main theme of the 2014 China Data Technology conference? (Big Data Marvell Conference 2014,BDTC 2014) and the second session of the CCF Grand Conference in Beijing new Yunnan Crowne Plaza grand opening. Star Ring Technology CTO Sun Yuanhao's keynote address is "2015 ...

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.

In big data environments, the time dimensions of data occurrence are also changing, and companies are demanding more real-time data. The original business data, including annual reports, monthly reports, quarterly reports, weekly, the fastest is the daily, but now the time dimension of business data has been completely changed, the smallest unit may be seconds. The more real-time data, the greater the value of the business. Although the traditional business analysis products are full-featured, the analysis of non-real-time historical data can not meet the real-time requirements of business personnel to analyze the data. In the face of rapidly changing business data, the value of a day before and after a very different. Get faster ...

Part III: Log and real-time streaming processing so far, I just describe the ideal mechanism for data replication from End-to-end. But handling bytes in the storage system is not all about what you want to tell. Finally we found that the log is another way of saying that the log is the core of the stream processing. But wait, what is flow processing? If you are http://www.aliyun.com/zixun/aggregation/16333.html "the late >90 or early 21st century database culture or data base frame ...

Part III: Log and real-time streaming processing so far, I just describe the ideal mechanism for data replication from End-to-end. But handling bytes in the storage system is not all about what you want to tell. Finally we found that the log is another way of saying that the log is the core of the stream processing. But wait, what is flow processing? If you're a fan of database culture or data infrastructure products in the late 90 or early 21st century, you might be able to relate streaming to building SQL engines or creating "box and Arrow" interfaces for event-driven processing. If you...

Flume-based Log collection system (i) architecture and Design Issues Guide: 1. Flume-ng and scribe contrast, flume-ng advantage in where? 2. What questions should be considered in architecture design? 3.Agent crash how to solve? Does 4.Collector crash affect? What are the 5.flume-ng reliability (reliability) measures? The log collection system in the United States is responsible for the collection of all business logs from the United States Regiment and to the Hadoop platform respectively ...