Unstructured 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.

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 ...

Communications industry reporter Igia 3G business makes the telecom market competition environment become more and more intense. In terms of business, the 3G provides a more flexible, diverse, personalized business and application; In business models, unimpressed is a more open system and a more complex value chain, which poses great challenges to operators in customer service and business management.　　Therefore, the operator for user analysis and data mining needs become more and more obvious, the background of the Business Analysis System (BASS) to become a successful 3G business operation of the basic guarantee. Shanxi Mobile as the earliest introduction of BSS ...

Traditional data storage and management are based on structured data, so relational database systems (RDBMS) can meet the needs of various applications.

The concept of large data, for domestic enterprises may be slightly unfamiliar, the mainland is currently engaged in this area of small enterprises. But in foreign countries, big data is seen by technology companies as another big business opportunity after cloud computing, with a large number of well-known companies, including Microsoft, Google, Amazon and Microsoft, that have nuggets in the market. In addition, many start-ups are also starting to join the big-data gold rush, an area that has become a real Red sea. In this paper, the author of the world today in the large data field of the most powerful enterprises, some of them are computers or the Internet field of the Giants, there are ...

Now, cloud computing and large data are undoubtedly the fire of the concept, the industry to their discussion also intensified, then cloud computing and large data encounter again how the link? Some people say that cloud computing and large data are twins, two are different individuals, interdependent and complementary, and some people say that big data is to disrupt. Cloud computing VS Big Data in this regard, IBM Global Senior Vice president, the Department of Systems and Technology (STG) general manager Rod Adkins that the current global IT field has exciting development trends and challenges, now ...

Many years ago, the industry was discussing a topic: How to deal with massive data? In particular, some need to store a large number of user data industry, finance, telecommunications, insurance and other popular industries. Users are likely to generate large amounts of data almost every hour of the day, and storage devices in these industries have to be meticulously documented. 　　With the rapid increase of data volume, many industry users began to find ways to change the "number" for the treasure, from the massive data mining valuable information. If only a large number of structural data, then the solution to the comparison of the single, the user through the purchase ...

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.

Big data hit many years ago, the industry was discussing a topic: How to deal with massive data? In particular, some need to store a large number of user data industry, finance, telecommunications, insurance and other popular industries. Users almost every hour of the day, are likely to produce a large number of data, these industries storage equipment, must be the data generated during the period of meticulous record, in order to prevent loss, but also must do backup, but also have to do off-site disaster recovery backup, which is not finished, business interruption events can not exceed the number of time range, Otherwise it is a major accident, so must be through the IT system assurance industry ...

is the traditional data processing method applicable in the large data age? 　　The data processing requirements under large data environment are very rich and data types in large data environment, storage and analysis mining data is large, the demand for data display is high, and the high efficiency and usability are valued. Traditional data processing methods are not traditional data acquisition source single, and the storage, management and analysis of data volume is relatively small, most of the use of relational database and parallel data Warehouse can be processed. To rely on parallel computing to enhance the speed of data processing, transmission ...

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 real ...

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 ...

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 ...

"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 ...

The industry defines cloud computing in a variety of ways, but, as seen from several well-known cloud computing models, storage is a fundamental support component that is not in any way open, and cloud storage, as one of the branches of cloud computing services, mentions storage as the primary location. 　　At the same time, there are not many vendors who can solve storage problems well in the underlying architecture, and storage is facing a number of bottlenecks to achieve cloud computing. At an Intel Media training camp, Intel (China) Limited server platform Product manager Chang said: "Today we talk about cloud computing and virtualization in the cloud architecture ...

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.

Microsoft's SQL Server is one of the most watched products in the database market. SQL Server is almost second in the list of database Db-engines published every month in the database Knowledge Web site. 　　But from this list of monthly changes can also be seen, a large number of NoSQL database rankings rising, has begun to threaten the status of traditional databases. "Quo" is no longer a big data age should be the strategy, the old database manufacturers in the maintenance of traditional market-leading foundation, and constantly expand the new market, Microsoft ...

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 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.

"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 ...