Unstructured Data

Big data is raging, and it has made every enterprise mired in it, but almost every business is convinced of the commercial value of the big data. It is worth emphasizing that in order to tame large data, mining large value from large data, clear recognition of large data is the inevitable first step. In response, ZDNet launched a market research on China's large data recognition and application, and was involved with 447 users from all walks of life. Through the analysis of research data, the panoramic impression of China's large data has gradually become clear. This article will be combined with ZDNet launched research data, scanning large data on China ...

The author is the broad application prospect of Soath, vice president of Oracle Company and technical general manager of Greater China. Corporate CEOs and CIOs talk about big data when they talk about business strategy and it model innovation. Gartner releases "Big Data drives Rapid Changes in infrastructure and $232 billion in IT spending 2016" ("rapid change in the large database-driven infrastructure ...").

"Tenkine Server channel April 23" The Big data application of the vast number has been beyond doubt. Corporate CEOs and CIOs talk about big data when they talk about business strategy and it model innovation. Large data drives Rapid Changes in infrastructure and $232 billion 2016, Gartner ("rapid change in the big-drive infrastructure", 2 016 Years ...

After the March 11, 2011 earthquake in Japan, the National Oceanic and Atmospheric Administration (NOAA) released detailed tsunami warnings in 9 minutes after analyzing massive amounts of data, including land-based, coastal, marine, marine and atmospheric resources. NOAA's IT budget of 1 billion dollars a year, although expensive, but very enjoyable, because this information about life, this data can save lives, change the world. In this era of information explosion, are you ready to face the massive message? The advent of the big data era in recent years Internet 、...

It can be said that big data is one of the hottest trends in the IT industry today, and it has spawned a new batch of technologies to deal with big data. And new technologies have brought the latest buzz words: acronyms, professional terms, and product names. Even the phrase "big data" itself makes a person dizzy. When many people hear "big data", they think it means "a lot of data", and the meaning of large data does not only involve the amount of data. Here are a few popular words that we think you should be familiar with, sorted alphabetically. ACID ...

China's IDC Circle July 17 reported: Using cloud computing is to deliver information processing tasks to the data center to deal with. Most of the next generation data centers adopt virtualization technology, dividing a physical hardware server into multiple logical virtual machines, which can perform multiple information processing tasks at the same time, which greatly improves the utilization ratio of expensive scarce computing resources. People of my age are familiar with it. The supreme teachings of the great man of philosophy about everything can be divided into two ways (1957 Mao Zedong in the "dialectical method of unity within the party" clearly pointed out: "In two, this is a common phenomenon, this is dialectics", "Mao Zedong election ..."

The big data age has arrived. The difference between big and traditional data is the expansion of data volume. According to the global data volume tracked by EMC and IDC, the digital world will grow 44 times times in the last 10 years, from 0.9 ZB to 35.2 ZB. Second, the type of data, complexity will be greatly increased, no longer only to deal with the internal structure of the data, more http://www.aliyun.com/zixun/aggregation/13739.html "> unstructured data, ...

With the emergence of new channels and technologies such as social networks, mobile computing and sensors, a large number of new data have emerged. We live in an era of exponential growth in data, and conventional technology has struggled to cope with the massive amount of data at PB (1024TB) levels. We have entered the era of diversified data. How do we deal with such a large data structure and the age of unstructured information? "The advent of the big data age is beyond doubt," he said, as he interviewed Teradata, Stephen Brobst Baoliming, chief technical officer. Only those ...

"Abstract" when Hadoop enters the enterprise, it must face the problem of how to solve and deal with the traditional and mature it information architecture. In the past, MapReduce was mainly used to solve unstructured data such as log file analysis, Internet click Stream, Internet index, machine learning, financial analysis, scientific simulation, image storage and matrix calculation. But in the enterprise, how to deal with the original structured data is a difficult problem for enterprises to enter into large data field. Enterprises need large data technologies that can handle both unstructured and structured data. In large data ...

Decades ago, as Oracle, SQL and other database technologies swept the world, the vast number of it people might not think that, decades later, a heap of unplanned, unrelated social network access records, pictures, or audio and video will become the "baby" in the hands of users, These figures may be a key to a businessman's success today. 　　For managers who started building data centers more than 10 years ago, and even a few years ago, it was not expected that the back-end storage would be filled with a lot of unstructured data. Unstructured data The advent of the era is ...

The recent Forbes magazine published a "Big data is a big lie" in a signed article, the article author SAP Sybase global CTO Irfan Khan to those big data fans poured a basin of cold water. The cloud-computing market is still heating up, with http://www.aliyun.com/zixun/aggregation/14294.html "> 's Big Data boom is worse than cloud computing." According to Irfan ...

Recently, the US Forbes magazine published a "Big data is a big lie" of the signature article, the author of SAP Sybase global CTO Irfan Khan said that the serious data from the big challenge is not as scary as people think, corporate IT departments do not need to pose formidable posture. He said, from the database to http://www.aliyun.com/zixun/aggregation/8302.html "> Data Warehouse to today's large data, data volume ...

The rise of social media, Internet of things and E-commerce is prompting companies to look at data strategies in the hope of digging up more business value from large data analysis. The National Oceanic and Atmospheric Administration (NOAA) issued a detailed tsunami warning just 9 minutes after the March 11 earthquake in Japan.   NOAA then made a computer simulation of the real-time data obtained by the ocean sensors and produced a tsunami impact model that appeared on YouTube sites. NOAA's rapid response has benefited from its vast global network of ocean sensors. Through these ...

To extract and analyze the public opinion information implied from the unstructured data from the Internet, and to create more and more market space in the first wave of large data. And how to use from the Internet, social networks, mobile applications and other innovative fields to create a burst of growth in the mass of unstructured data to create value, is the current major data industry focus on the hot topic. Using massive data analysis tools and algorithms to extract and analyze the public sentiment information implied in unstructured data from the Internet, so as to provide decision support for the work of government and enterprise managers, and also be the first of large data ...

At present, there is a lot of discussion about "big data", and the accepted view is to generalize the series of large data: massive data Scale (volume), fast data flow and Dynamic Data system (velocity), various data types (variety) and great data value (value), and our response. But in fact, the big data should first consider the "big"-massive data scale. The "big" and "big" of large data is a relative concept. For example, for a "memory database" like SAP Hana ...

Absrtact: October 18, 2013, Microsoft held a big Data media day event with big control, big wisdom, big Insight, Microsoft Global Senior Vice President, Hele Ralph Haupter, chairman and chief executive of Greater China, said: Big Data not only October 18, 2013, Microsoft held a large data media day event on the theme of "Big control, big wisdom, big insight", said Mr Ralph Haupter, senior global vice President and chairman and chief executive of Greater China, Hele.

Big data for many companies does not mean opportunities or business potential, before they can manage data well, large data only means risk and endless annoyance. Three important topics in large data: unstructured data beyond structured data, increased volume of structured data, and commercial analysis of structured and unstructured data, the first two issues are the basis and prerequisite for the third issue to be implemented without good data storage, protection, migration and grooming, Trying to analyze the data is a myth-where does the data come from? How to analyze ...

Big data is becoming a craze, it is not only the IT field of technological change, is constantly impacting the political, commercial, social, scientific and technological fields. Faced with large data, there is the exploration of the application, thinking about the model, the question about security, but in any case, large data, has become the new round of technological change the strongest sound, the livelihood of business innovation are all related, anyway, we must face the arrival of the big data age. Cloud Base as the earliest in the embedded cloud computing technology and business model leader, has been actively concerned about the development of large data.

Today, Microsoft is hosting a big data media day with the theme "Big control, big wisdom, big insight", sharing with dozens of domestic media the latest research results, solutions, and views on the future trends of large data. Users of Microsoft's big data solutions from domestic banks, automobiles, transportation, health care and retailing, through their personal experience, have introduced Microsoft's Big Data solutions for many industries. Microsoft Global Senior vice president, Greater China Region Chairman and Chief Executive Officer Hele (Ralph Hau ...)

Ai need to have large data support artificial intelligence mainly has three branches: 1. rule-based artificial Intelligence; 2. Without rules, the computer reads a large amount of data, according to the statistics, probability analysis methods, intelligent processing of artificial intelligence; 3. A kind of depth learning based on neuron network. Based on the rules of artificial intelligence, in the computer according to the prescribed grammatical structure input rules, using these rules for intelligent processing, lack of flexibility, not suitable for practical. Therefore, the actual mainstream of artificial intelligence is the latter two. And then both are read by the computer ...