Big Data

According to Xinhua news agency, the number of new data on micro-blogging, Twitter more than 100,000, social network "Facebook" browsing more than 6 million; within two minutes, the world uploaded more photos than the 19th century total number of photos ... At the November 2 Summit of "211.html" > Broadband china and optical fiber Communication Forum, Hequan, academician of China Academy of Engineering, said China needed to increase light http://www.aliyun.com/zixun/aggregation/12311.html " ...

The intermediary transaction SEO diagnoses Taobao guest stationmaster buys cloud host technology Hall a few years ago, Rey Kuzwer wrote a book called "Singularity near". He said, human civilization after so many years of development, in the middle of this century will pass a point, this point, is singular point. Singularity is a turning point, that is to say, human civilization may enter a bifurcation, may enter a new height of civilization, may also be a sharp fall, human extinction. So the singularity has a double meaning, it can get better, and it can get worse ...

As for big data, everyone talks about it and wants to try it, but few people know what big data is like. The advent of the great data age, which has been the result of decades of technology accumulation in the world, has rapidly penetrated all industries in the last two or three years. Compared with the internet bubble more than 10 years ago, the development trend of large data is more practical, closely related to business, and the profit model is clearer. The industry has almost unanimously agreed that changes in the industry, driven by big data, will have a destabilizing effect on the competitive model of enterprises. But on the other hand, companies really use large data analysis and get the price ...

Big data, first of all, means massive amounts of data, and radically alters the idea of data utilization. It is possible to analyze all the data that may be produced, which will make people change the sampling methods used in the past for a long time, and be good at responding to the mass (all) data quickly and even in real-time. The sampling analysis in the past leads to the deviation of the sample distribution, which distorts the conclusion of the finite data, while the data mining analysis in the large data age does not mean that the analysis is less difficult, and the contrary may be higher. Of course, in the big data age, there is usually no need to analyze all the data. "Big Data Age ...

"Large data is a new strategic resource in the age of Digitalization, which is of great importance to the development of the country and society." China should vigorously promote the large data research and industrial development, and to promote the decision-making mechanism and social and economic development and transformation of various undertakings. "At the opening ceremony of the" Environmental Protection Data Research Center of Xian Jiaotong University, "Wang Chulo, academician of the Chinese Academy of Engineering, said. Wang Chulo says the world is now in an era of exploding data. In the long run, the development of large data is not only the development of science and technology, but also the change of decision-making mechanism, which leads to large data from experience decision and quantitative decision.

Victor Lejes Schoenberg's most insightful insight in the big Data age: The big changes in life, work and thinking, he made it clear that the biggest shift in the big data age was to abandon the desire for causation and instead focus on the relationship. That is, if you know what "is", you don't need to know why. This has subverted the human's thinking practice for thousands of years, and posed a new challenge to human cognition and the way of communicating with the world. Gartner, a renowned IT research institute, has a "magic quadrant" for professional IT markets ...

Last year, Bill Franks, chief analyst at Teradata's Global partnership program, saw big data as not a commercial package, but an important tool to change many industries around the world, and the main purpose of the book, "Harnessing Big Data", was to remind the public The big data age really has come. Obviously, the big data is not a change, but it is still in a steady quantitative stage. In a sense, Teradata Company's performance itself can prove that the industry is indeed growing, as at December 31, 2012, ...

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

In the past two years, the big data has been widely discussed by the public, and even become the selling point of many business marketing. Undoubtedly, the development and popularization of intelligent devices make the mass data collection possible. But the big data is not pure "data big", it contains a kind of calculation and thinking way change, want to exert big data insight, still face the challenge of collecting, managing, analyzing data. How can these obstacles be broken? How can large data be used in the future to create greater value? These questions are worth our cool judgment in the heat of the big data. April 26, Tsinghua University set up "Tsinghua ...

With the growing popularity of online tourism, the industry pattern is changing. Ctrip, where to go, art Dragon and other industries under the Giants, poor travel nets, cattle nets, donkey mother, leisurely travel network are doing vertical work. Baidu, Tencent, Ali and so on are also active in the layout of online tourism. In the BATC pattern of tourism traffic, how to break through small and medium-sized tourism enterprises? The Tourism social networking site, MA Honeycomb, provides a model for cooperation with the road (Beijing) Air Services Limited (hereinafter referred to as "travel on the Road"). Both sides joined hands with domestic and foreign tourism bureau, Airlines, to the "Reverse customization" field. Reverse customization, usually by means of ...

Comparing this year and last year, the concepts of IoT, self-driving cars, consumer-grade 3D printing, and natural language quiz are at the top of the hype. And big data has slipped from the top, NFC and cloud computing near the bottom. Technology is always changing, renowned IT consulting organization Gartner recently updated the annual "Emerging Technology Hype Cycle map", and the Imperial College of Technology "forward-looking" group also launched the "New Science and Technology timeline", all kinds of emerging technologies have done classification and technology maturity of the judgment. Gartner's "Emerging technology hype" cycle ...

Not long ago, two reports caught my attention. One is the author of "A Brief History of Time," Stephen William Hawking, who used big data for the British team in Brazil's World Cup-and, by the way, a team of scientists at Yahoo's headquarters was also based on Tumblr data from the Light blog site, Published predictions that Brazil would eventually win the championship, and another was a 2014-version internet Trend report by Mary Meeker, which sparked widespread domestic media attention. Two reports revealing the letter ...

I've heard from American colleagues about one thing: "http://www.aliyun.com/zixun/aggregation/6277.html" > Ad company, a customer who happens to be a marine colonel, is talking about data reliability. The colonel said: "If I get an intelligence on the battlefield, even if I am not 100% sure of the accuracy of the information, I will still make decisions based on intelligence." "He strongly believes that intelligence is better than no intelligence-we cannot ignore it simply because the information is not reliable ...

Through the analysis of large data industry chain, we can clearly see that in the large data industry chain of various production links, the major companies have opened up, with high-performance computers, massive data storage and management of the process of continuous optimization, technology can solve problems will not become a problem. To sum up, in Deloitte's analysis, there are three links that really constrain or become a major data development and application bottleneck: first, the legality of data collection and extraction, the trade-off between data privacy protection and data privacy applications. Any enterprise or organization extracts private data from the crowd, the user has ...

Top Ten Open Source technologies: Apache HBase: This large data management platform is built on Google's powerful bigtable management engine. As a database with open source, Java coding, and distributed multiple advantages, HBase was originally designed for the Hadoop platform, and this powerful data management tool is also used by Facebook to manage the vast data of the messaging platform. Apache Storm: A distributed real-time computing system for processing high-speed, large data streams. Storm for Apache Had ...

According to foreign media reports, when consumers step into the U.S. largest auto parts retailer AutoZone located in Texas Veken's retail stores, will find the vast majority of AutoZone stores have no special sales shock absorbers. In Minneapolis city, consumers will find discounted Reese's traction equipment at the AutoZone retail store. In Florida State's Malber, consumers will find a special sale of nets. Directional trading is part of the AutoZone global supply chain strategy from the retail level, which reduces consumers ' access to autozone retail ...

In the 2013, the industry's definition of big data will become clearer and more focused on its derivative business value. To tap into the relevance of both data and business applications, the talent for managing and analyzing big data will emerge. The development of information technology, just like all human civilization evolution, now any widely expected or unique concept technology, can not be turned out overnight, but the accumulation of a lot of kinetic energy, only with the internal and external environmental conditions mature and gradually rise. Looking forward to the 2013 it trend, there are still a lot of expectations ...

As a http://www.aliyun.com/zixun/aggregation/9032.html "> Information strategy Expert, John Weathington often sees many companies not determining their future big data strategy." As follows, he gave us the secret of how the enterprise successfully developed the Big Data development strategy. Nothing is more than six months after the enterprise has developed a big data development strategy, everyone in the enterprise, even some senior leaders, are still confused.

We live in a world where the volume of data expands rapidly, and mass data analysis, the so-called "big Data", will be the target of future productivity development, innovation and consumption demand growth. According to a new survey conducted by the McKinsey Global Research Institute (MGI) and McKinsey's Business technology office, any industry leader has seen the unprecedented potential and significance of big data. Enterprises can obtain the specific information and the volume of the growing, multimedia, social media, the Internet of things will greatly increase the information available to the enterprise in the future. MGI in Medical 、...

Beijing Time March 13 News, according to foreign media reports, Microsoft is currently determining the most likely to become its next 1 billion dollar business applications, cloud computing and large data products. Currently, Microsoft has more than 10 unique products or services that have an annual revenue of more than $1 billion, including Windows, Office, Xbox, SQL Server, System Center, Unified Communications, SharePoint, development tools, Dynamics (ERP & CRM), as well as online display and search ads ...