Data

From ancient to ancient times, people are always in the record, are in storage. 　　 　　From ancient stone carvings, bamboo slips, to cloth, paper, to compact discs and flash memory, storage has been becoming simpler and more massive. In the field of computers and Internet, storage has changed dramatically in just ten years. From small-capacity floppy disks to oversized removable hard disks, from portable high-capacity discs to smaller USB drives, from solid media to network-based cloud storage. 　　 　　Regardless of capacity, media or use, personal storage has a qualitative upgrade. In the past, we have saved data to ...

In the analysis of website data, time is one of the most common and indispensable dimensions, most of which are used to limit the range and granularity of index statistics, while time factors can also affect some statistical rules and details of indicators, and in some data analysis it is easy to overlook the effects of time factors, 　　These effects may mislead the final conclusion. Found that the problem is in a data extraction requirements, the site will release a lot of new content every day, these new content needs to be recommended, otherwise it will be buried, so many sites will have "the latest recommendations" and other modules ...

The development of new concepts and new technologies, such as cloud computing and Gengjiguang, which is based on HBase, has promoted the rapid growth of data center construction, and a large amount of energy consumption equipment will produce large-scale energy consumption data. Aiming at the storage problem of the data of massive energy consumption data center, a large scale distributed data storage architecture based on HBase is proposed, which realizes the storage system of the data center massive energy consumption data by using the distributed database HBase. Experimental results show that the system has good usability, scalability and storage query efficiency. Based on HB ...

Abstract: The so-called long illness into doctor, each person in their own experience in the doctor can harvest a lot of relevant knowledge and experience, the experience to move to the line, to build a patient communication community, it is the Xiamen start-up company patient as I am doing. Patients such as my so-called "long illness into a doctor," each person in their own experience in the doctor can harvest a lot of relevant knowledge and experience, the experience to move to the line to build a patient communication community, it is the Xiamen start-up company "Patients like Me" is doing. "Patient Like Me" is a UGC patient exchange community. At the same time also have data digging ...

Research on QoS guarantee mechanism of multi-data center in cloud storage Xia Chunzhong of Jiangsu University This paper analyzes the problem of bandwidth utilization of network link between multiple data centers in cloud storage, and presents a QoS-oriented network traffic scheduling model for multiple data centers. The optimization goal of the model is to ensure the performance requirement of data transmission at different QoS levels, and to maximize the network link bandwidth resource utilization. In this paper, a network traffic scheduling algorithm based on two-layer multi particle swarm is proposed, combining with the hierarchical management of cloud storage data center. The algorithm has faster convergence speed and avoids the traditional algorithm ...

"Enterprise Network D1net" March 26 in a large data era, security issues, still can not be ignored, with the application of large data gradually deepening, nowadays, There are many concerns about the privacy issues involved in the analysis of large data: are companies and government agencies in various countries entitled to such a wide range of personal and group information? At the same time, for their collection and processing of these data information has relevant laws or policies to guide and restrain it? 　　One of the most critical but not often discussed and focused issues is security. Corporate and government agencies ...

Large data open industry application New Wave Wave Group cloud computing and large data division general manager Wang Feng August 2014 from industry cloud to industry large data wave industry large data practice on the development of large data The new wave of industry application

Absrtact: Webmaster should be very clear about the importance of analysis of the site optimization, you know the optimization of the site need to pay attention to what data analysis? If you do not know, then we will discuss the outcome of the hope that the results can be engaged in SEO work friends to do webmaster should be very clear site optimization analysis of the importance of data , do you know what data analysis you need to be aware of when optimizing your site? If you don't know, then we will discuss the results of the discussion is to be engaged in SEO work friends to bring help. 1th: Analysis of keywords ranking pass ...

In 2012, "big data" has been greatly developed. However, it is not hard to see from the perspective of the enterprises themselves, service prices and the limitation of "big data". Not everyone needs big data. From social media startups to New York's Central Park, big data analytics are spread across almost every company. This is an era of "big data" flooding. This is also evidenced by a recent report from Gartner, a well-known data analyst firm that shows that big data will drive $ 28 billion in global IT spending in 2012 and more than $ 230 billion in 2016. 230 ...

Research on the optimization of data storage model for general review system based on SaaS Feng Han Cochi is focused on the data storage issues that need to be addressed when building a universal review system based on SaaS mode. Based on the traditional data storage model, the storage utilization rate and the low performance of data access, combined with the idea of heat index, data segmentation theory and metadata-driven, this paper This paper proposes a storage solution based on thermal metadata driven key value pairs for customizable SaaS systems, which can be used to differentiate calls;

"Double 11" not only created excellent benefits for themselves, but also to the courier industry is undoubtedly a lot of help. "Double 11" has been around for a week now, but it is still a few days before the rush hour for delivery enterprises can pass, but at the moment, there is no "explosion" that will occur in previous years. Appears in the industry, such a result, not only the major express delivery companies billions of dollars in preparation for the "double 11" embodiment of this industry's big data applications played a decisive role. State Post Bureau recently released monitoring information shows that this year's "double 11" all e-commerce orders generated fast ...

Application of large data technology in Air Force equipment support Fan Wenjie Tao Wu Yongchun Liu Chaoqing Large data is another hot topic in the field of information technology after cloud computing and IoT. The use of large data technology to change the Air Force equipment data security model, accelerated the development of Air Force equipment support information. Will make the Air Force equipment security form a three-dimensional, dynamic, timely analysis of the security model, to achieve from the data advantage to decision-making advantages of transformation. Application of large data technology in Air Force equipment support

Energy saving and environmental protection have always been the response to various fields. Nowadays, Formula One cars also set off energy-saving and environment-friendly reforms that will reduce the engine of the racing engine from V8 to V6 while ensuring the speed. At the same time, the Chinese saying goes, letting the horses run and the horses not grazing. For this classic game on the court, I am afraid that only big data, can become the best choice to solve it. F1 Circuit is probably one of the most classic scenarios for big data. The design, simulation, testing and construction of a fast-paced $ 200,000 Formula One racing car is done entirely in the computer.

A grid scheduling method based on hierarchical scheduling strategy and Dynamic Data replication Rai Jinhui Liangsong, the Task scheduling algorithm (YPP) and the Dynamic Data replication algorithm (E1/ZF) are proposed to solve the problem of how to efficiently perform task scheduling and data replication in grid, so as to reduce task execution time.　and construct a scheme to combine the two algorithms effectively. The scheme uses YPP algorithm to comprehensively consider the number of task waiting queue, the location of task demand data and the calculation capacity of the site, and adopt the hierarchical scheduling method of network structure, with the appropriate weight coefficient calculation ...

The WAMS Power Data 處理 based in Hadoop Zhaoyang Qu, Shilin Zhang for massive WAMS Data, this monitors used the MapReduce t o make parallel the data ETL operations for several files,...

Absrtact: Recently, the hammer mobile phone in the days of the reservation data on the cat suspected of fraud in the town. The explanation of the cat is feeble, still be exposed to fake not twice, yesterday and the relevant personnel were punished. So, what about hammers? Luo how to see recently, Hammer mobile phone in the days of the reservation data on the cat is suspected of fraud in the town. The explanation of the cat is feeble, still be exposed to fake not twice, yesterday and the relevant personnel were punished. So, what about hammers? What does Luo think about it? Is this what the cat did, or did it talk to the hammer? ...

At noon on July 25, for http://www.aliyun.com/zixun/aggregation/894.html "> media reports pointed out that Millet's press conference live 200 million people to watch the real false data, and the true traffic only hit the millions." 　　Millet in response to this day, said the media reports of the text is not rigorous, the total number of interactions actually reached about 220 million times. On July 22, 2014 Millet Annual Conference of the day, the millet community on this online graphic live ...

The growth path of data analyst, the requirement of talent in large data age, the skill requirement of data analyst, the requirement of professional accomplishment of data analyst, how to see a data analyst how to grow ....

The "long tail effect" of digital publishing in large data age Deng Deng Hairong This paper studies that the revolutionary impact of large data on digital publishing now, it will lead to the formation of digital publishing "long Tail Effect": first, it will dig deep into personalized digital publishing products to form a "product long tail"; It will intersect countless small communities and form the "audience long Tail", third, it will build a flat information circulation channels to form a "long tail of the channel." To study the long tail effect of digital publication under large Data environment is of great practical significance to guide and promote the rapid and healthy development of digital publishing. ...

A survey of data representation and compression in graphs Tommy Yan bear Jia Liu Guo Li the efficient, compact representation and compression of graph data containing billions of nodes and edges is the basis of large-scale graph data analysis and processing. Graph data compression technology can effectively reduce the storage space of graph data, Fast access is also supported on graph data in the form of compression. By analyzing the present situation of the technology, this paper divides the technology into two kinds: compression technology based on traditional storage structure, compression technology of Web page image, compression technology of social Network Diagram, compression technology for specific query, 4 categories. Detailed classification of each type of technology ...