Big Data Does Not Refer To

What are the characteristics of good statistics: 81.8% preferred "authentic". Comics: Li Xiaoyi intern Xiangnan Our correspondent Shoshunan not long ago, the National Bureau of Statistics in the "2009 National Economic and Social Development Bulletin," said that in 2009 China's 70 large and medium cities housing sales prices rose 1.5% year-on-year. Subsequently, the National Land Survey and Planning Institute of China's Ministry of Lands and Resources published a study of the city land Price Monitoring Group, the 2009 China's residential average price rose 25.1%. The statistical data of the two departments "fight", triggering public ...

Page 1th: The desire for large data Hadoop is often identified as the only solution that can help you solve all problems. When people refer to "Big data" or "data analysis" and other related issues, they will hear an blurted answer: hadoop! Hadoop is actually designed and built to solve a range of specific problems. Hadoop is at best a bad choice for some problems. For other issues, choosing Hadoop could even be a mistake. For data conversion operations, or more broadly ...

The big data age is not popping up, and in fact, in the past few decades, mathematical analysis has dabbled in the financial sector, with Nobel laureate Harry Markwitz, William Sharp, Robert Engle uses econometric knowledge and financial market data to establish mathematical models to predict the relationship between product returns and risk volatility in financial markets. The emergence of a large data age is simply a result of the combination of massive data and perfect computing power. To be exact, mobile Internet and IoT produce huge data, and large data computing technology solves the collection, storage and calculation of massive data perfectly 、...

First of all, do not think that read this article can become a big data master, otherwise it will not use the word "cultivation", to cultivate into large data master is not an easy thing, can be said to be very difficult one thing. Or not even the big data source-the United States does not exceed 10 people (perhaps 5, 6) to reach this level, in China ... 　　Forget it, I won't say it. This article is actually for you to refer to a process unusually difficult, but the future is very bright road. No perseverance, look at the good, never seriously. (To be honest, even if you want to see this article ...)

You may not realize it, but the significance of the data is no longer limited to the key elements of the computer system--the data has been scattered across the field, becoming the hub of the world. Citing the comments from a managing director at JPMorgan Chase, the data have become "the lifeblood of the business". He threw his remarks at an important technical conference recently held, with data as the main object of discussion, and the meeting also gave an in-depth analysis of the ways in which institutions move to the "data-driven" path. The Harvard Business Review magazine says "data scientists" will be "21 ...

Most experts believe that gems and gold can be found in huge amounts of data. Oxford University in the UK has conducted a survey of industry workers around the world, and 2/3 of respondents believe that using data and analytics software can keep them competitive. The question is, how are these "gold diggers" digging gold from such huge data mountains today? The "gold" to be excavated from 3V to 4V refers to the recording, storage and analysis of large amounts of data, as well as the appropriate ...

The large data in the wall are registered as dead data. Large data requires open innovation, from data openness, sharing and trading, to the opening of the value extraction ability, then to the foundation processing and analysis of the open platform, so that the data as the blood in the body of the data society long flow, moisture data economy, so that more long tail enterprises and data thinking innovators have a colorful chemical role, 　　To create a golden age of big data. My large data research trajectory I have been 4-5 years of mobile architecture and Java Virtual Machine, 4-5 years of nuclear architecture and parallel programming system, the last 4-5 years also in pursuit ...

Whether you favor or reject it, big data has become a fact.     Now we have to go back to the facts and explore the truth ... Big Data is one of the hottest topics of the day, and none of us can be in it. Like the cloud that emerged a few years ago, big data has caused widespread concern in the marketplace, and there is an urgent need for companies to define big data.   Large data lacks a standard and pervasive definition, at least not as widely accepted as NIST's definition of cloud. &nbs ...

Whether the cloud-computing tide has receded for the time being, and the latest survey by Gartner, a research institute, shows that the cloud computing sector will keep growing, and growth will slow, after all, cloud computing has been a lot of trouble. Now, a new concept that is not clearly defined as cloud computing is increasingly popular-"big data". And big data has begun to change the IT landscape, according to Gartner data, only 2012 years of large data to drive the world's 28 billion of dollars in IT spending, 2013-led IT spending scale is expected to enter ...

Victor Maire-Schoenberg, a professor of internet research at the University of Oxford's Cyber Institute, and author of the Big Data age: What is the magic of making more rational and reliable decisions in the big data age, so that the concept of "big data" gets universal attention around the world? What exactly is "big data"? How far can it change our lives? As we seek answers to these important questions, Victor Maire-Schoenberg, professor of Internet research at the University of Oxford's Cyber Institute, is now in our sights;