Google Database

With the advent of cloud computing, there are many new nouns, such as cloud database, cloud storage, elastic expansion, resource isolation and so on. 　　The following is the hot "shared database" for everyone to explain what is called "shared database". I introduce myself first, I am engaged in IT industry 10, was an architect many years ago. 　　Below is a personal experience, as well as with some Google, BAT, Jingdong and other companies cloud computing architects to get the summary of the experience, for you to analyze what is a "shared database." What is shared data ...

With the rise of internet web2.0 websites, the relational database has become a very hot new field, the development of the non relational database products is very rapid. 　　But the traditional relational database in dealing with web2.0 website, especially the super large-scale and high concurrent SNS type web2.0 pure dynamic website already appeared to be powerless, has exposed many insurmountable problems, for example: 1, high configured--to the database higher concurrent reads and writes the demand WEB2.0 website to be based on user personalized information to generate real-time dynamic ...

As a software developer or DBA, one of the essential tasks is to deal with databases, such as MS SQL Server, MySQL, Oracle, PostgreSQL, MongoDB, and so on. As we all know, MySQL is currently the most widely used and the best free open source database, in addition, there are some you do not know or useless but excellent open source database, such as PostgreSQL, MongoDB, HBase, Cassandra, Couchba ...

I first http://www.aliyun.com/zixun/aggregation/7415.html "> Self-introduction, I engaged in IT industry 10, years ago is an architect, now in an internet company as product manager, below is personal experience , as well as with some cloud computing architects to exchange the experience of the summary, the following on the Beijing-East Cloud Database For example, there are improper please forgive me. What is a shared database talking about "shared database", what puzzles us most is "...

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: This article from Liouville Contribution (micro-blog @ Liouville Life Road), engaged in the cloud computing industry for many years, from personal experience, and with some Google, Jingdong and other companies cloud computing architects to share the experience of the summary, for you to analyze what is a "shared database." What is a shared database talking about "shared databases", what puzzles us most is "sharing" three words. "Sharing" lets us think of the antonym "exclusivity". Yes, the shared database is a comparison of the exclusive database of the user resource ownership of the database title, it is the companion ...

For companies, 100 theories are not as practical as a successful benchmark. The main idea of this paper is to find 49 samples of “doing” big data.

Would you like to run the database server on the IaaS cloud? Or should it be converted to a PAAs selection? The choice of a database as a service may sound tempting, such as Cloudant's nosql but how to weigh it? Developers and application designers have a lot of options for deploying databases in the cloud, and it's hard to make the best decisions. Regardless of which cloud database you choose, you need to measure a variety of factors, including cost, availability, scalability, and performance support. The current code may be difficult to select from the platform, the Service (PaaS) database, or even the relational database ...

30 years of database development and formation of Oracle, IBM, Microsoft and other representative of the strong monopoly pattern, making the traditional domestic database not only untimely, coupled with the technology to follow the strategy, in the field of business processing tenacious fight, although the product continues to progress, market applications have also been to achieve a single point of breakthrough, But mostly in non-core applications. Despite the government's continued strong support, but in the monopoly barriers and open source software around the attack, in addition to the policy market, it is difficult to achieve a large-scale breakthrough, has not yet formed a benign cycle of enterprise development and government support for a mutually beneficial situation. ...

Social media, E-commerce, mobile communications, and machine-machine data exchange make terabytes or even petabytes of data that the enterprise IT department must store and process.   Mastering fragmentation best practices is a very important step in the cloud planning process when users process data for cloud computing databases. Fragmentation is the process of splitting a table into a manageable size disk file. Some highly resilient key-value data stores, such as Amazon simple DB, Google App engine ...