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(Author Srini penchikala translator Dingxuefeng) for non-relational data types such as documents, object graphs, and key-value pairs, the NoSQL database provides them with an alternative way to store data. Can distributed caching be used as a NoSQL database? Ehcache's Greg Luck author describes the similarity between distributed caching and NoSQL databases. Infoq interviewed him and discussed the pros and cons of the scheme. InfoQ: Can you do a distributed caching solution with the NoSQL database ...
One of the key decisions that companies that perform large data [note] projects face is which database to use, SQL or NoSQL? SQL has impressive performance, a huge installation base, and NoSQL is gaining considerable revenue and has many supporters. Let's take a look at the views of two experts on this issue. Experts· VOLTDB's chief technology officer, Ryan Betts, says that SQL has won widespread deployments of large companies, and that big data is another area that it can support. Couch ...
One of the key decisions faced by enterprises that perform large data projects is which database to use, SQL or NoSQL? SQL has impressive performance, a huge installation base, and NoSQL is gaining considerable revenue and has many supporters. Let's take a look at the views of two experts on this issue. Experts· VOLTDB's chief technology officer, Ryan Betts, says that SQL has won widespread deployments of large companies, and that big data is another area that it can support. Couchba ...
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 ...
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 ...
Introduction with the advent of the cloud computing era, various types of Internet applications are emerging, the relevant data model, distributed architecture, data storage and other database related technical indicators also put forward new requirements. Although the traditional relational database has occupied the unshakable position in the data storage, but because of its inherent limitation, has been unable to satisfy the cloud computing age to the data expansion, reads and writes the speed, the support capacity as well as the construction and the operation cost request. The era of cloud computing has put forward a new demand for database technology, which is mainly manifested in the following aspects. Mass data processing: to ...
Cloud services and cloud computing any web-based applications and services provided by cloud computing can become cloud services. Cloud services This model can significantly improve the interests of smaller companies and enterprises, compared with the company-specific ERP, the use of cloud services such a model can achieve centralized resource allocation and resource management, but also better meet the needs of users, to achieve procurement configuration, to avoid waste of resources. The company's professional and technical personnel will be regularly maintained and maintained, can significantly reduce costs. The reliability, expansibility and stability of the system are improved remarkably. The advantages of cloud services are low cost and similar to China ...
The big data age has come and has quietly influenced our lives. According to a recent study by IDC, 1 million new links are shared every 20 minutes on Facebook and 10 million user reviews are released. Facebook and all other Internet sites, Internet applications, have gradually become the entire data collection, analysis, processing and value-added architecture. In China, social networks are also in full swing. Sina Vice President Wang Gaofei has said that Sina Weibo has registered more than 300 million users, users on average daily release more than 100 million micro bonnet ...
In recent years, with the development of science and technology, business expansion, more and more enterprises feel losing control of the data. As one of the important core components of IT system, the database carries important information data. The data form multiplication, the data capacity growth rate is also very astonishing, lets the enterprise's data environment almost cannot bear. At the same time, the day-to-day backup, optimization, expansion, and high availability working hours of the DBA (database administrator) are cyclical, as data maintenance management becomes increasingly onerous. How can we solve the above problems? With cloud computing technology ...
As a http://www.aliyun.com/zixun/aggregation/6434.html "> software developer, we value the abstraction of things." The simpler the API, the more attractive it is to us. Dialectically, the biggest advantage of MongoDB is the "elegant" API and its agility, which makes the coding process of developers unusually simple. However, when MongoDB involves large data scalability issues, developers still need to know the bottom of it ...
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