Big Data

The field of data storage is undergoing drastic changes, and this change will be a long-term trend. And with the change in the data storage field, will inevitably give birth to some of the new technology, will change the development of the storage area, so today we will look at what storage technology in the future will change the future? 1 The Ethernet hard disk Seagate has announced its Ethernet-connected Kinetic drive, which claims that Ethernet hard drives will provide as much as four times times more storage application performance than is now possible. Ethernet hard Disk design idea is very obvious, is to streamline data to the transmission link between the hard disk ...

Good intelligence has always been a determining factor in the war against malware. But the threat multiplied by the exponent, the analysis information may become as important as collecting it. Future Anti-malware is an unresolved issue. Due to the increasing number of malware generated, the most common approach to dealing with infections in the past-based on signature file scans-is becoming increasingly ineffective. But there is no better strategy, and many of the enterprise's anti-virus products still depend heavily on it. But things are changing. Antivirus software vendors are beginning to realize the trend of keeping exploring ahead of time to anticipate malware ...

Today, I saw an article on the Tiger sniffing web-the notion of being played bad: does a micro-trust-circle AD really use big data? , in the article, through a combination of large data analysis of several models to conclude that this push is not a strict sense of large data behavior. And then it's about what it does if it's really a big data action. The article concludes: In this advertising push, the display of large data application is not in place, it is a pity. In fact, my personal research and speculation, the micro-letter friend Circle advertising push, and did not rely on large data for directional push, but randomly generated ...

Since 2012 on the line just over 2 years to get 100 million U.S. dollars financing of today's headlines, through the data analysis different user's preference to news, and then to push the mode of the model news to almost angered the whole traditional media circle; the recently successful listing of Wanda Group was announced jointly with Baidu and Tencent in September this year to establish Wanda Electric Attempts to rely on Baidu, Tencent's underlying database and membership system advantages against the electric dealers Ali ... "Big Data" is playing an increasingly important role in the entire business world. The big data gained by the heat is a harbinger of a commercial war that will evolve into a data war. Who has got ...

Talk about my opinion on this issue. 1 does big data really create such high value? First of all, the concept of "big data" is simply understood as a large number of data, and in fact large data includes its storage, management and algorithm concepts. Large amounts of data do not create much value, but the ability to process and analyze large data in recent years has given rise to unprecedented value. The value of large data creation is hard to do, like how many products a factory produces in a year, or what percentage of the increase in corporate profits can be achieved with a clear figure.

It is not a bubble from Japan's current application. We can not say people abroad who said what, I say some of my own time to use the feelings. All right, uh ... I mean, I said something about my own project. He is not bubbles and we have nothing to do with him, he is only a means of solving the problem. And we use him to solve the business problem is the real purpose. The process and what he is is all right. It's not that he's not a bubble, he can solve the problem, or that he's a bubble. He can't solve anything alone, can you count on ...

A recent media hot news report on Big data is interesting, the news said, Ali's data analyst on its platform underwear sales data analysis found that the purchase of large underwear women tend to be more "prodigal." This also lets the media once again to the big data in the domestic Internet company application and development relish. Large data application: In the country has become a normal according to the East building, the concept of large data in the domestic hot and by the major Internet companies should be more than 2012 years later, when a "large data age" as a large data concept in the domestic Enlightenment books and highly respected, the book mentioned ...

The big data is just e-commerce based precision marketing? This understanding is one-sided. Large data will be widely present in the physical world and the real economy, and the industrial revolution that it spawned is just beginning. The latest case is unmanned aircraft, or unmanned aerial vehicles. It has a central flight control system, which can achieve the autonomous flight beyond visual range. After World War II, especially since the Gulf War, UAV technology has been a focus of military competition, but in the civil field, its application is very limited. In the last year or two, this situation is changing, unmanned aerial vehicles in the civil field, there are some new, very worthy of attention to the application ...

According to foreign media reports, processors and other hardware products Intel has been engaged in an internet-related medical experiments and work. Through Intel's wearable devices, data on the human brain associated with neurodegenerative diseases, known as Parkinson's syndrome, are collated and analyzed. The use of wearable equipment to collect data on patients with difficult and incurable diseases will have a significant impact on both the patient and the Internet's large data value. "We started with 50 people," said Ron Kasabian, vice president of Intel's Big Data solution, in a media interview.

Marketing in English is called: Marketing, the market in English is called: harsh, from this we can see from the text: Marketing from the market! And the market is rooted in demand! And the demand comes from the user! So want to play good marketing, then must understand the user psychology! Want to understand user psychology?  Then everything must originate from the data!!! Nowadays the internet, the Giants are playing big data. And we don't have big data to play with. This problem, in fact Sir do not have to worry about, big data, we also have, and is ready-made, free, no maintenance! ...

Often listen to entrepreneurs say their company will produce/record a lot of data every day, although they have not yet figured out how to use the data, but the data are saved first. They often say that through these data their products/services will be greatly improved, as if the data is the company's savior. This article does not want to discuss whether this view is correct or not, but would like to explain two common misconceptions about large data: First, data is not equal to information often people use data and information as synonyms. In fact, data refers to an original data point ...

In the interview of Simin data Liu Chengzhong, he said that the current large data domain enterprise-level market rely on technology monopoly to obtain high profits of the game is outdated, the cost of technology will continue to decline, this is the general trend, the market giant will appear in the technology is very good, but better service companies. From the user's point of view, the user's first concern is how to make the data value, then the solution depends on what kind of technology, whether it can quickly apply, whether it can adapt to the next possible expansion, relative technology, 1th is more difficult. In fact, today's corporate customers, particularly in the field of large data technology, ...

Druid is an open source data analysis and storage system designed for real-time search queries on large cold datasets, providing cost-effective and online real-time data ingestion and arbitrary data processing, and maintaining 100% uptime in the face of code deployments, machine failures, and other product system contingencies. October 25, 2014, hosted by ebay, CSDN "Big Data Summit" held in Shanghai, Druid founder Eric Tschetter delivered a speech "Druid trip, large data real-time analysis data storage Framework" ...

2014 China Large data technology conference officially fell on December 14, nearly hundred technical experts here to share their latest research and practical results, this article from China Economic Network management consultant Yang, the main interpretation of the relationship between large data and in-depth learning, as well as the future development of industry technology. The following is the author of the original: 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 Big ...

Large data and artificial intelligence technology is not only the chips of the IT giants competition, but also the fast track of the success of the creators ' entrepreneurship. On January 24, on the Microsoft VC Display Day, the results of the fifth phase of the 15 teams and selected sixth 21 teams, covering the internet finance, corporate collaboration, online education, life services, health management and other areas, none of the use of cloud computing, large data, Mobile and artificial intelligence technology to seek new market opportunities. Microsoft's VC accelerator was launched in China in July 2012, offering free "change, looking for the market" for the winning team.

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...

It is an important goal for us to realize the improvement of enterprise operation efficiency through large data technology, but this work is not easy for every enterprise. On January 21, "1 billion said TalkingData mobile Internet Industry index Data Report", a number of industry experts and senior talkingdata for us to share the release of large data value existing pits, and how we can solve. The so-called 1 billion said, refers to the TalkingData platform now covers 1.06 billion of mobile smart devices, including iOS, an ...

The purpose of data mining is to find more quality users from the data. Next, we continue to explore the model of the guidance data mining method. What is a guided data mining method model and how data mining builds the model. In building a guided data mining model, the first step is to understand and define the target variables that the model attempts to estimate. A typical case, two-dollar response model, such as selecting a customer model for direct mailing and e-mail marketing campaigns. The build of the model selects historical customer data that responds to similar activities in the past. The purpose of guiding data mining is to find more similar ...

Graphlab provides a complete platform for organizations to use scalable machine learning systems to build large data to analyze products, including Zillow, Adobe, Zynga, Pandora, Bosch, ExxonMobil, etc. They data from other applications or services, and transform large data concepts into predictive applications that can be used in production environments through system models such as referral systems, fraud monitoring systems, emotional and social network analysis systems. Carlos Guestrin is GRAPHL.