Nosql Cloud Providers

Open source data is divided into two factions, NoSQL enthusiasts like to publish a lengthy criticism of relational database limitations, MySQL enthusiasts stubbornly defend the health relational database-insist that the data neatly stored in the table. 　　You'd think the two sides would never get along, but in fact, tens of thousands of companies have been trying to combine relational and relational databases, and have tried it many years ago. But the development of new technologies is often antithetical to the technology of the past. When NoSQL developed, the name of the light sounded like ...

The document database of NoSQL database technical characteristics Today's cloud computing practitioners are not unfamiliar with the term nosql, though many technicians have long been working on relational databases, but now they are looking forward to nosql technology. The transition from relational to NoSQL databases is definitely a big change to be considered for businesses. This involves not only the changes in software, but also the conceptual changes in data storage. Most non-relational databases have fast and scalable features. By discarding relational storage models and schemas, relationships ...

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.

Forbes: hadoop--Big Data tools you have to understand now Apache Hadoop has become the driving force behind the development of the big data industry. Techniques such as hive and pig are often mentioned, but they all have functions and why they need strange names (such as Oozie,zookeeper, Flume). Hadoop has brought in cheap processing of large data (large data volumes are usually 10-100GB or more, with a variety of data types, including structured, unstructured, etc.) capabilities. But this is the same as before ...

Into the 2014, big data from the red media concept of speculation gradually landed into a wealth of industry. The large data service providers springing up in the Chinese market have launched a fierce competition. From "China's large data service provider comprehensive services level TOP100 list" (hereinafter referred to as the list), has been able to vaguely see the Chinese "large data cloud" embryonic. China and the United States large data cloud compared to the U.S. similar list, the highest ranked 10Gen only 43rd, while the Big Data stock star tableau only 45th, and Marketo simply not on the list. This makes us notice ...

Into the 2014, big data from the red media concept of speculation gradually landed into a wealth of industry. The large data service providers springing up in the Chinese market have launched a fierce competition. From "China's large data service provider comprehensive services level TOP100 list" (hereinafter referred to as the list), has been able to vaguely see the Chinese "large data cloud" embryonic. China and the United States large data cloud compared to the U.S. similar list, the highest ranked 10Gen only 43rd, while the Big Data stock star tableau only 45th, and Marketo simply not on the list. This makes us notice ...

Introduction Cloud application developers and DevOps have successfully developed tens of thousands of applications for IaaS (Amazon AWS, Rackspace, etc.) and PAAs (Azure, Google App Engine, Cloud Foundry, etc.) platforms. These platforms provide basic security mechanisms such as authentication, Dos attack defense, firewall policy Management, logging, basic user and account management, but security concerns remain the primary obstacle to enterprise cloud implementations. Security concerns for the cloud, deploying from a secure configuration ...

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 ...

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 ...

As the amount of data contained in business transactions continues to increase, service providers are looking for ways to make data management for the public cloud easier. 　　Big data is becoming more and more important, and cloud service providers want to get involved in the Enterprise database field. Research institute IDC predicts that large data will increase at a rate of 60% a year, with structured and unstructured data. Enterprises need to find ways to play the role of these data, and for a long time the database is a very good solution. At present, service providers are introducing more ways to host these databases in public cloud through cloud technology, which will make users ...