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Inapplicability of big data

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 optimization of data storage model for general review system based on SaaS

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;

Big data support "double 11" express delivery industry has made progress

"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

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

Classic application of big data F1 racing energy-saving reform

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.

Grid scheduling method based on hierarchical scheduling strategy and Dynamic Data replication

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 ...

Document] The WAMS power Data 處理 based on Hadoop

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,...

Luo: Hammer data fraud is pure slander and slander

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? ...

Millet response to the conference live data fake rumors

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 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

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. ...

Summarization of graph data representation and compression technology

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 ...

Development of data storage technology in large data age

The development of data storage technology in large data age Dalian City College Yang Junsheng data storage technology experienced from manual management to file management, and then to the database management system three stages, database technology in the relational database occupies a major position. The rise of the internet, prompting user data explosion, large data era has come, the storage media capacity and data retrieval speed have put forward higher requirements, traditional relational database is not competent for this role, NoSQL database gradually rise. On the basis of introducing the concept of large data, this paper analyzes the advantages and disadvantages of relational database,...

Authentic Big Data thinking right here!

According to Alibaba vice President, data Committee president Cheping, this is the normal social data, it determines the era of data analysis of the characteristics of the tide-Leng noble grounding gas, unrestrained flavor depth. To know, the Windows95 era of data analysis, MB magnitude; Data analysis in the Google search era, GB level; In the social era, data analysis is TB, often thousand times the number of growth, to now, nature has become a "big" data analysis, large in the number of data levels, but also large in the data of various dimensions, in addition, more emphasis on Verac ...

Recognize 10 big mistakes of big data

Large data dominate the current technology news, and it is touted as a possible solution to all problems, from intrusion detection and fraud prevention to cancer treatment and the setting of optimal product prices. But we define large amounts, multiple formats, and high speed data that are not the panacea for every problem.   In fact, if the company superstitions around some of the big data myths, it may go further in the wrong direction, wasting a lot of time and money, affecting the company's market competitive position, or damaging the company's reputation. The following is the enterprise should know the surrounding ...

Hadoop: The winner of large data solutions

Software engineers of large architecture data solutions know that Business Analytics has a technology spanning SQL databases, NoSQL databases, unstructured data, document-oriented data storage, and large processing. If you guessed Hadoop, you answered correctly. Hadoop is also a common denominator for many giant companies, such as Amazon, Yahoo, AOL, Netflix, EBay, Microsoft, Google, Twitter and Facebook. IBM is even at the forefront of the times, promoting Hadoop for enterprise analysis. This open source model is everywhere ...

Document] Big Data Analytics

Big Data analytics:the Future of information Storage Justin Larsen into order to understand the Future of the Vestra of Informati On maximally stored, one moment-in define the big Data and the ways ...

Four key elements of cloud computing data center

"When large enterprises do not implement cloud computing, their primary infrastructure is reliable and usable in terms of site environment, such as four 九、五个 nine, etc." But today, electricity has accounted for 40% to 45% of operating costs, so when it comes to cloud computing, energy efficiency must be considered. "Schneider Electric It division, vice president of Greater China, data center business general Manager Quying said." "Not only that, as the next generation of data center construction concept is accepted, Cloud data center construction also depends on ' feng shui '." ...

Black five overseas shopping data: Beijing female per capita consumption close to 5k most wayward

1, black five overseas shopping data: Beijing female per capita consumption close to 5k most wayward according to the data of the foreign terminals, black five day "overseas Prodigal" ranked first is Beijing, followed by Shanghai, Guangdong, Sichuan, Chongqing, Jiangsu, Zhejiang, Hubei and other regions. From each big city black five day average consumption amount of view, Beijing as high as 4785 Yuan, Shanghai for 4538 Yuan, Guangzhou for 4203 Yuan, Chengdu, Chongqing, respectively, 4126 Yuan and 4087 yuan. According to the introduction of the foreign terminals, the rich, wayward Beijing girls in the black five overseas purchase strength, in the city's consumption of the top. One...

Example of box diagram application in Network game data analysis

Data mining data analysis has become the killer application in http://www.aliyun.com/zixun/aggregation/11513.html "> Network game operation, For the understanding of the data and use on the one hand for game development to find bugs and game balance adjustment to provide data support, on the other hand in the game market operation, the choice of strategy and mode, the effect of monitoring and so many fields are inseparable from the data. Network game as a representative of digital entertainment products, data mining data analysis degree and comprehensive ...

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