Today, IBM, one of the three major manufacturers of traditional database fields, announces that it will add NoSQL functionality to future DB2 flagship databases. And just yesterday, database leader Oracle announced the release of its latest NoSQL database, although the two products are intrinsically different (Oracle NoSQL Datbase will be released as a stand-alone product, based on Berkeley DB IBM's NoSQL database will migrate to DB2 and Informix, with no specific technical details to release. )...
NoSQL systems generally advertise a feature that is good performance and then why? relational database has developed for so many years, various optimization work has been done very deep, nosql system is generally absorbing relational database technology, and then, in the end what is the constraints on the performance of relational database? We look at this problem from the perspective of http://www.aliyun.com/zixun/aggregation/9344.html "> System design." 1, index support. Relational data ...
Naresh Kumar, a software engineer and enthusiastic blogger, has great interest in programming and new things, and is happy to share technical research results with other developers and programmers. Recently, Naresh wrote about 12 well-known free, open source NoSQL databases, and analyzed the characteristics of these databases. Now that the NoSQL database is becoming more and more popular, I'm here to summarize some of the great, free and open source NoSQL databases. In these databases, MongoDB the top, with considerable ...
After completing one of the biggest projects of the year, the focus is shifting from PM's role to storage-related work, so it took some time outside of the work to focus on NoSQL related information (mainly from blog.nosqlfan.com) NoSQL related [translate] nosql ecosystem Http://blog.nosqlfan.com/html/2171.html//This is the best and most complete document I have seen NoSQL speak about nos ...
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.
When it comes to big data, many people first think of internet companies, such as Google, Baidu and Alibaba. Internet companies in the large data analysis has indeed walked in the forefront of the industry, its aura also obscured the industry's big data shine. IDC defines big data with "4 V": volume represents greater capacity, produced represents a variety of data, velocity represents faster processing speed, and value means that large data can create more value. Tianjin Nanda General Data Technology Co., Ltd. (hereinafter referred to as the General) chief technical Officer Vounie said, such as ...
"Editor's note" in the "Pioneer" series of business, High-performance, Wang Tao to build beyond the MongoDB NoSQL, we and Wang Tao talk about High-performance, have a business sequoiadb build experience. Readers need to interpret the advantages of each nosql from the data, we also invited relevant experts at home and abroad to MongoDB, SEQUOIADB, Cassandra, hbase four NoSQL Benchmarking, and published test cases, related data and test rules. This time we will give you the test of domestic experts, ...
Recently, China Minsheng Bank Big Data Project officially launched. The project, with IBM and the giant FIR Database Company (SEQUOIADB), sequoiadb to build Low-cost, high-performance, highly reliable and horizontally expanding data platforms for CMBC through IBM biginsights large data solutions and enterprise-class NoSQL databases. To help Minsheng bank through large data analysis to meet the financial industry's big data challenges, to achieve profound industry insights. The platform uses the full set of IBM Biginsights and partner SEQUOIADB ...
There are two main ways to store data: Database and filesystem, and the object-oriented storage are developed behind, but the overall thing is to store both structured and unstructured data. DB is initially serviced for structured data storage and sharing. FileSystem storage and sharing is large files, unstructured data, such as pictures, documents, audio and video. With the increase in data volume, stand-alone storage can not meet the needs of structured and unstructured data, then in the era of cloud computing, there is a distributed ...
There are two main ways to store data: Database and filesystem, and the object-oriented storage are developed behind, but the overall thing is to store both structured and unstructured data. DB is initially serviced for structured data storage and sharing. FileSystem storage and sharing is large files, unstructured data, such as pictures, documents, audio and video. With the increase in data volume, stand-alone storage can not meet the needs of structured and unstructured data, then in the era of cloud computing, there is a distributed ...
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