Nosql Challenges

The IT world is rapidly embracing "big data". Large data storage will be the next topic of discussion for Big data analysis, as big data is getting bigger, for example, and startups are using these systems to analyze the history of human evolution with trillions of DNA tests. Although large data (and its underlying technology NoSQL) is becoming a popular language in information systems, there is not much discussion about the security implications of large data. Large data Overview NoSQL refers to the relational database, which contains a large number of different types of structured data and unstructured data storage ...

NoSQL: How developers respond to big data release time: 2012.04.16 14:15 Source: Developer Author: Developer Current Large data is the hottest trend in the field of High-performance computing. Large data processing is characterized by: we need real-time collection, analysis, transmission of massive information, data set to PB or even ZB (1 million PB) as a unit, the large number of developers to bring new challenges, talked about large data, on ...

Guide: Mike Loukides is the vice president of the content strategy of O ' Reilly Media, and he is very interested in programming languages and UNIX system management, with system configured tuning and UNIX power Tools. In this article, Mike Loukides put forward his insightful insights into nosql and thought deeply about all aspects of modern database architecture. In a conversation last year, Basho, CTO of the company, Justin Sheehy, recognized ...

The scalability of the system is the main reason for promoting the development of NoSQL movement, including distributed system coordination, failover, resource management and many other features. That makes NoSQL sound like a big basket that can be stuffed with anything. Although the NoSQL movement does not bring fundamental technological changes to distributed data processing, it still leads to extensive research and practice on protocols and algorithms. It is through these attempts to gradually summarize some effective database construction methods. In this article, I will focus on the distributed features of the NoSQL database ...

December 2014 12-14th, hosted by the China Computer Society (CCF), CCF large data Expert committee, the Chinese Academy of Sciences and CSDN co-organizer of the 2014 China Large Data Technology conference (DA data Marvell Conference 2014,BDTC 2014 will be opened at Crowne Plaza Hotel, New Yunnan, Beijing. The three-day conference aims to promote the development of large data technology in the industry, and to set up "large data Infrastructure" and "large data ..."

The scalability of the system is the main reason for promoting the development of NoSQL movement, including distributed system coordination, failover, resource management and many other features. That makes NoSQL sound like a big basket that can be stuffed with anything. Although the NoSQL movement does not bring fundamental technological changes to distributed data processing, it still leads to extensive research and practice on protocols and algorithms. It is through these attempts to gradually summarize some effective database construction methods. In this article, I will focus on the NoSQL database distributed special ...

Research and application of large data storage technology based on NoSQL database Sun Zhunting The amount of data collected and processed in the actual project is very large, which presents a great challenge to the traditional database technology. Aiming at the disadvantage of traditional relational database with slow storage speed and high hardware requirement, a large data processing method based on NoSQL database is proposed, which breaks the relational model of traditional database, and the data is stored in a free way, but not dependent on fixed table structure. This method mainly combines empirical mode decomposition and NoSQL database technology, and is applied to deformation monitoring of large structural parts.

The use of large data has been far less than the ability to collect large data, the main reason is that the current enterprise data mainly dispersed in different systems or organizations, the key to the big data strategy is to be able to more in-depth, richer mining all the data system of valuable information, so more accurate prediction of customer behavior, find business value, 　　However, it is difficult to move this data to a separate data store, and security and regulatory issues are not guaranteed, Oracle Big Data SQL launched to solve the current challenges. The following is a translation:

Research on an incremental processing mechanism of parallel data based on NoSQL Huazhong University of Liu Cloud computing has brought new opportunities and challenges to the process of data processing. The traditional relational database is unable to meet the requirement of large data, and the distributed non relational database can satisfy the high concurrency and high demand of reading and writing because of its high reliability and high availability. However, the superior performance of distributed, relational databases is at the expense of SQL data-processing capabilities. Therefore, it is an important research to improve the data processing ability of the non relational database.

NoSQL how to deal with biomedical large data release time: 2012.05.31 12:24 from: Zhongguancun Author: The important characteristic of Shelanjing large data to be different from mass data is to deal with a lot of mixed structure data. In the biomedical field, there are many such data to be dealt with. Wang Yu, associate researcher of the Institute of Health Service and medical information of Military Academy of Medicine, shared the fourth session of China's cloud computing conference.