Unstructured Data

An average company spends $2.1 million a year on unstructured data processing, according to a survey of 94 large U.S. companies from the Novell Ponemon Institute, which has the highest cost for some tightly regulated industries, such as finance, pharmaceuticals, communications and healthcare. Will reach 2.5 million dollars a year; another survey from Unisphere research showed that 62% of respondents said unstructured information was unavoidable and would surpass traditional data over the next 10 years. In addition, 35% of the people said that in ...

Beijing August 23 News, according to foreign media reports, supermarkets inside how to design to maximize the increase in sales? On the face of it, the problem seems to be not related to data scientists. Consumer behavior is hard to quantify: unpredictable and seemingly unfounded. Why do some shoppers spend more time in certain channels than others? Why does every shopper have a different route to walk in the store? Why do some products sell well in the morning, but not at all in the afternoon? The answer to these questions depends on unstructured data analysis--because of unstructured, the data cannot be uniform ...

Ufida UAP Data platform has the ability of large data processing and analysis, it mainly relies on unstructured data processing platform Udh (UAP distribute for Hadoop) to complete. 　　UDH includes Distributed file system, storage database, distributed analysis and computing framework for Distributed batch processing, real-time analysis query, stream processing and distributed batch processing based on memory, and distributed data mining. In today's big data, companies can not blindly follow, but should understand why big data is so hot, why pay attention to it. Its ...

A distributed and unstructured data copy management model Lin, Zhang Wanjun, Sun Yong A distributed replica management model oriented to unstructured data for the delay response of data replica management in cloud storage systems. This model adopts the frame election algorithm to reduce the overall energy consumption of the system by improving the utilization ratio of each rack, and provides technical support for the Green data center. In order to improve system performance, balance load and resource utilization, a multiple-route hashing algorithm is used to distribute the data copy dynamically and evenly across different frame nodes. Simulation results show that with the traditional global map ...

Guide: 80% of the data in an enterprise is unstructured, and the data is increased by 60% annually. How do you better keep different types of files that are potentially valuable worldwide, rather than interfering with day-to-day work because they are handled? Of course you can buy more in-place storage devices, but there are always limitations. Cloud storage is the storage technology that more and more IT companies are using. The following section explains some key points about business information stored in the cloud. Managing unstructured data in the cloud according to a survey by IDC, 80 of the enterprise ...

EMC today announces the addition of a new feature in the Hadoop Data Computing Appliance (DCA) device that allows users to combine unstructured and structured data analysis platforms. EMC also publishes Greenplum Analytics workbench--a 1000-node test bench for the Apache Hadoop software integration test. The test Bench provides test resources for the Hadoop open source community to quickly identify errors, stabilize new versions, and optimize hardware matching ...

Large data, http://www.aliyun.com/zixun/aggregation/13739.html "> Unstructured data, semi-structured data. The data exists in all technical information. Throughout most organizations, new tools are needed to stay competitive, to better serve customers, and to bring products to market faster. Gartner predicts that corporate data will increase by 800% in five years, of which 80% is unstructured. Non-industry from groups, communities, and social networks ...

Prior to the Teradata Greater China http://www.aliyun.com/zixun/aggregation/8302.html "> Data warehousing and Enterprise Analysis Summit, data socialization, large data analysis has become the focus of various industries." In the telecommunications industry data will also go into the PB-class, the operation is "piped" in the depths of the data value of the weak position. In this respect, this newspaper reporter and Teradata China Telecom and postal industry general manager Li Hongjin on the current operator most close ...

Design of large unstructured data management system and its application cases Beijing top-SI Information Technology Co., Ltd. Design and application of the unstructured large data management system for Li Yin Pine

Absrtact: In the 2014 NetEase future Science and Technology Summit of the Financial Branch meeting, the most mentioned words are innovation, subversion, regulation, which also revealed that the people in the face of internet finance this big bread when the complex mood: how to do different, how to touch the core in the 2014 NetEase future Science and Technology Summit of the Financial Branch Hall, The most mentioned words are innovation, subversion, regulation, which also reveals the complex state of mind in the face of the great bread of Internet finance: How to do it differently, how to touch the core interests, and how to ensure the harmony of the great environment. ...

It is no secret that today's businesses are not plagued by the deluge of information. We are surrounded by a lot of growing data. Unstructured content in many organizations (from printing documents to social media articles) is growing unchecked. For many organizations, unstructured content already accounts for 80% or more of the overall enterprise information. Such content is growing, driven by the lingering reliance on paper-intensive processes and the chaotic spread of personal and shared digital content. The good news is that every information generated by people, devices, and systems within an enterprise can be used as a competitive advantage. ...

Zie Jie Editor's note/2012, the mobile phone KTV application "Sing It" of the hot, so that the microphone on the mobile phone derived from the application of many entrepreneurs concern, PA, sound, and so on, such as pop products, the capital also smell "sound" and move.　　It is understood that at present, sound has won the investment of the Angel of the Fund, and the arguments have been received angel injection. Voice is becoming the mobile end of a new starting point, and voice social, voice reminders, voice input, voice records, voice search and other applications based on the emergence of voice, also shows that audio is becoming the user's habit. In this ...

Beijing August 23 News, according to foreign media reports, supermarkets inside how to design to maximize the increase in sales? On the face of it, the problem seems to be not related to data scientists. Consumer behavior is hard to quantify: unpredictable and seemingly unfounded. Why do some shoppers spend more time in certain channels than others? Why does every shopper have a different route to walk in the store? Why do some products sell well in the morning, but not at all in the afternoon? The answer to these questions depends on unstructured data analysis--because of unstructured data that cannot be uniform ...

Relative to structured data (the data is stored in the database, it is possible to use two-dimensional table structure to express the implementation data logically, the data that is not convenient to use the database two-dimensional logical table to represent is called unstructured data, including all format Office documents, text, picture, XML, HTML, various kinds of reports, images and audio/ 　　Video information and so on. An unstructured database is a database with a variable field length and a record of each field that can be made up of repeatable or repeatable child fields, not only to handle structured data (such as numbers, symbols, etc.), but also ...

By clearly defining the relevant concepts of large data, enterprises can plan their own data system correctly, and locate the traditional technology and new technical methods appropriately. With the rapid development of it technology and the emergence of new technologies, the industry has generally confused many basic concepts. This is also the case in today's most popular large data fields. The concepts of structured data and unstructured data are frequently cited, but the parties are often diverging. The confusion of the concept of data has greatly influenced the enterprise to plan the data system clearly and correctly. The author of this article from the actual work ...

By clearly defining the relevant concepts of large data, enterprises can plan their own data system correctly, and locate the traditional technology and new technical methods appropriately. With the rapid development of it technology and the emergence of new technologies, the industry has generally confused many basic concepts. This is also the case in today's most popular large data fields. The concepts of structured data and unstructured data are frequently cited, but the parties are often diverging. The confusion of the concept of data has greatly influenced the enterprise to plan the data system clearly and correctly. The author of this article from the actual ...

Recently, hosted by the China Electronic Society, China Electronic Society cloud Computing Experts committee and China's cloud computing Technology and Industry Alliance hosted the "cloud Computing and large Data" symposium held in Beijing Jingxi Hotel Grand. Honorary chairman of the Chinese Electronic Society, the former minister of information industry, Jichuan, and the Ministry of Industry and Information Technology Zhou chief economist successively addressed the Chinese electronic Society to grasp the new generation of information technologies, the development of the characteristics of a forward-looking, basic seminar congratulated. The leaders and guests of the workshop also include the Software and Services Division of the Ministry of Industry and Information technology.

The industry has divergent views on the concept of large data. One of the most notable is the definition of the authoritative research institute Gartner: Large data is the ability to gather, manage, and process data for its users over an acceptable period of time, beyond the common hardware environment and software tools. Large data is not a simple data capacity, data speed, complexity and diversity are the key characteristics of large data. Big data often comes from new data sources, where unstructured data is the absolute mainstay. Unstructured data refers to those data that are not convenient to use in two-dimensional logical tables of the database, including all forms of office ...

The industry has divergent views on the concept of large data. One of the most notable is the definition of the authoritative research institute Gartner: Large data is the ability to gather, manage, and process data for its users over an acceptable period of time, beyond the common hardware environment and software tools. Large data is not a simple data capacity, data speed, complexity and diversity are the key characteristics of large data. Big data often comes from new data sources, where unstructured data is the absolute mainstay. Unstructured data refers to those data that are not convenient to use in two-dimensional logical tables of the database, including all forms of office ...

May 18 News, http://www.aliyun.com/zixun/aggregation/13660.html ">IBM Software has officially released the analytical insights of IBM's wisdom based on Business Analytics Insights (BAO) theory ( Smarter Analytics) strategy to help businesses analyze complex data. The strategy integrates IBM's large number of software products, including large data platforms, analytical data warehousing solutions, financial performance management, business intelligence, forecasting ...