What Is Unstructured Data

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Microsoft enterprise-wide data analysis strategy: integrating Hadoop

A few months ago, Microsoft announced its own version of the Hadoop release hdinsight for Big Data management, analytics and mining.   The reporter contacted the senior product marketing manager, Val Fontama, of SQL Server, hoping to learn more about Microsoft's corporate-class data. On the growth trend in the size of datasets in the enterprise: The ocean of data has been growing. There is a forecast that the volume of business information is doubled each year. For example, Gartner found all ...

Non-structured data access for cloud storage

Non-structured data access for cloud storage Xie into Chen Xiangdong unstructured data is exploding, and existing storage technology needs to be improved in the aspects of I/O throughput capability, scalability and manageability. Based on the theory of cloud storage and reliability, the storage system establishes a distributed storage model of unstructured data and designs a reliability function. The Distributed relational database management system (RDBMS) is used as the storage base, and the unstructured data is stored directly in the data table, which realizes the separation of unstructured data and metadata.

Cloud storage archiving can bring immediate real benefits

As you learn about cloud storage archiving, you may experience cloud storage archiving issues, and here's how to solve the problem of cloud storage archiving, and share them here. Every few years there is a technology that is so hyped that no one knows what it really means. In the storage world, storage virtualization and Information Lifecycle Management (Information Lifecycle Management-ilm) are two living examples of suppliers that have been very concerned about reducing the cost and complexity of storage infrastructure, but never really. Place ...

"Big Data" will change the status quo of China's industry

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.

Hequan: We need national big Data strategy

"Don't be misled by big data, large data, which is more about data mining than it is about big numbers," he said. "In the tenth session of the National Information Technology Expert Forum, the Chinese Academy of Engineering, China Internet Association Director Hequan pointed out that large data needs more emphasis on data mining, and the existing technology applications, talent, security and privacy issues, the most critical is to have a national large data strategy, Make it an effective way to change the mode of economic growth. The value of large data like the Shari NBA from the 80 's the beginning of the players in the game ...

EMC Sales Global CTO: Big Data not hype

Now, the topic of big data is even more than cloud computing. Patricia Florissi, Vice President of EMC Inc. and global chief technology officer for sales, said: "At present, we do not have a profound understanding of the benefits that large data can bring to people and how far they can affect people's lives and work." Now, I go to the Amazon to buy books, will not only buy a book, but according to the site's recommendations, buy some other things I am interested in. This is the new changes that the big data age brings to people's lives. "Big data needs are really big ...

Hequan: We need national big Data strategy

"Don't be misled by big data, large data, which is more about data mining than it is about big numbers," he said. "In the tenth session of the National Information Technology Expert Forum, the Chinese Academy of Engineering, China Internet Association Director Hequan pointed out that large data needs more emphasis on data mining, and the existing technology applications, talent, security and privacy issues, the most critical is to have a national large data strategy, Make it an effective way to change the mode of economic growth. The value of large data like the Shari NBA from the 80 's the beginning of the players in the game ...

"Big Data" will change the status quo of China's industry

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.

The potential impact of large data and institutional requirements

On the big data, I have a few views: first, because the big data is just hot, so don't be anxious to conclude. When it was just developed, Professor Robert Solow, the authoritative Solow on growth, proposed a "Solow paradox": "We see computers everywhere, and we can't see productivity statistics." "Until 15 years later, by 2002, he openly admitted:" I now find it may contribute to productivity. "The study of large data may also take a long time to confirm value ...

Dynamic cube three elements: big data to bring security products upgrade

The hottest science and technology terms for 2013 are none other than "big data," and related books have long dominated the list of bestsellers, giving unprecedented attention to big data. The new ideas brought by big data are gradually penetrating into every industry and changing the way we all think as creators of data. Before the advent of big data, it was a period of rapid development of technologies such as the Internet, cloud computing and Internet of Things. With the popularization and extensive construction of information terminals such as intelligent terminals and digital cities, anyone at any time, anywhere ...

The potential impact of large data and institutional requirements

On the big data, I have a few views: first, because the big data is just hot, so don't be anxious to conclude. When it was just developed, Professor Robert Solow, the authoritative Solow on growth, proposed a "Solow paradox": "We see computers everywhere, and we can't see productivity statistics." "Until 15 years later, by 2002, he openly admitted:" I now find it may contribute to productivity. "The study of large data may also take a long time to confirm value ...

Microsoft opens big data in the era of mr.big everyone can be a

There is one Mr Big in our city, he is so great that he has the power to change the world, to see what is happening, to foresee what is to come, to help us create a moving surprise, to see what is happening--with big data, who can become mr.big. The picture is Microsoft Global Senior vice president, Greater China Region Chairman and Chief Executive Officer Hele (Ralph haupter) in the Microsoft Big Data Strategy conference speech above is excerpt from yesterday Microsoft in Beijing launches its big data strategy the scene to play ...

Storage requirements for large data in China market

Effective use of large data, not only real-time monitoring of a variety of potential risks, improve production efficiency, more importantly for the enterprise to provide a lot of insights to enhance investment return and competitive advantage, but also to help enterprises from a multidimensional judgment of the global market potential business opportunities, to achieve rapid development of leaps and bounds. Large data through it to create value mainly divided into three stages, the first stage is the batch analysis, the data mainly from the internal structure of the data; the second phase is real-time analysis, the type of data analysis gradually from the structural evolution to include unstructured and http://www.aliyun.com/zixu ...

The difference between "big data" and "mass data"

If only a large amount of structured data, then the solution is relatively simple, users to buy more storage equipment, improve the efficiency of storage devices and other solutions to such problems.   However, when people find that the data in the database can be divided into three types: structural data, unstructured data and semi-structured data and other complex situations, the problem seems to be less simple. Big Data hits when the type of complex data hits, then the impact on the user IT system will be another way to deal with. Many industry experts and third party investigation agencies through a ...

How to find out the commercial value of large data is more important

For all the big data commitments, the fundamental challenge of collecting large amounts of data from different sources is to find new business applications for this data, some IT managers said at the Phoenix Business Intelligence and Analysis Vision exhibition in the world of computing this week. Technology vendors and industry analysts are promoting the business benefits of using unstructured data from clouds, mobile devices, social media channels and other sources to mix traditional structured data, according to some executives attending the show. However, executives do not know how to use large data or how to articulate themselves to the IT department ...

EMC Sales Global CTO: Big Data not hype

Now, the topic of big data is even more than cloud computing. Patricia Florissi, Vice President of EMC Inc. and global chief technology officer for sales, said: "At present, we do not have a profound understanding of the benefits that large data can bring to people and how far they can affect people's lives and work." Now, I go to the Amazon to buy books, will not only buy a book, but according to the site's recommendations, buy some other things I am interested in. This is the new changes that the big data age brings to people's lives. "Big data needs are really big ...

Three elements of large data value mining: comprehensive integration and open

There is no doubt about the broad application of large data. 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 2 billion in IT spending 2016" (rapid changes in the large information-driven infrastructure 2016 related IT spending will reach $232 billion trillion, "the report said, 2 ...

China with "Big data"

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.

The difference between traditional analysis and large data analysis

Why large data analysis is important to the enterprise the purchase of analysis software and application system suppliers by major IT companies has become a daily phenomenon. We have seen the term "Big data analysis" used in many enterprise solutions. Large data is a general term used to represent a large number of unstructured data that is not stored in an enterprise database in a traditional relational format. The following are the general features of large data. Storage limit of data storage relative to current enterprise TB (TERA BYTES) byte, defined in PB (PETA BYTES) byte, ...

Dual challenges facing massive processing and real-time analysis

Today, "Bigdata" (large data) the advent of the era has been no doubt, especially in the telecommunications, financial and other industries, almost to the "data is the business itself". One of the more important trends in this is the socialization of data (socialization of 挟裹). From the blog forum to the gaming community to the microblog, from the Internet to the mobile internet to the IoT, the real-time networking of human beings and various physical entities has been and will continue to produce incalculable data. For the enterprises that always focus on the market, they ...

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