Database Driven Application Development

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Newsql database manufacturer Nuggets industry Big Data

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 ...

VMware launches new enterprise database

Global virtualization and cloud Infrastructure leader VMware (NYSE trading Code: VMW) announced a new database opening and operation solution at VMworld 2011, which aims to bring an enterprise a service model of database and service. As an extension of the VMware Cloud application platform strategy, VMware vfabric Data director will provide it with the ability to control and manage an increasing number of heterogeneous databases through policy-based automation, and through self-service provisioning patterns for developers ...

MySQL and PostgreSQL: which open source database to choose? Which one is better?

Naresh Kumar is a software engineer and enthusiastic blogger, passionate and interested in programming and new things.   Recently, Naresh wrote a blog, the open source world's two most common database MySQL and PostgreSQL characteristics of the detailed analysis and comparison. If you're going to choose a free, open source database for your project, you may be hesitant between MySQL and PostgreSQL. MySQL and PostgreSQL are free, open source, powerful, and feature-rich databases ...

Cloud Computing Week Jevin review: A document database of NoSQL database technology characteristics

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 ...

Cloud database service Generate

Is cloud the source of your database-driven application?   The Xeround company and its investors, who have just been established, think the answer is yes. So far, Xeround has raised a capital of 38,800,000 dollars, the latest round is last week's C series, raising 9,300,000 of dollars. Xeround Company has developed a cloud database as a service technology using the open source MySQL database. The company has many channels of partnership, including Amazon and Rackspace, which helps ...

I understand Internet applications and enterprise application development

Some time ago, I wrote a blog about the topic, but I finished, I think I still did not talk about nature, this article is a sequel.   Internet Applications (Web sites or apps), and the essential difference between enterprise applications, should be discussed from the user. The internet is a strange user, the website for them is self-service system (similar to ATM machine), do not need, and can not be mandatory training for them, such as user registration.   So they have to be absolutely retarded and try to reduce the cost of learning. Enterprise application is the company's employees, with mandatory, and before, or system before the line, a ...

Large data mining-driven changes

After the arrogant data has entered the people's view, it gradually becomes the focus that people pay attention to generally. Large data is the PB era of science, in essence, the challenge of large data is the PB era of science challenges, but also the cognitive science including data mining challenges.   So what about data mining in the big data age? In modern times, people often say that large data mainly includes three sources: the first is the large data of nature, the natural environment on Earth, very big. The second is the big data of life. The third and most important is the social data that people care about. These data are common ...

Cloud-driven Internet "domestic demand" entrepreneurs "returnees" into the tide

For traditional manufacturing, China is a veritable world factory, and for industries with higher technology content, it is the opposite. Hundreds of Chinese teams, using Amazon's servers, or running on Gae (Googleappengine), are designed primarily for foreign users.   This phenomenon is called "sea fishing" in the industry. Livid was once a "fisherman". For 2010 years, for interest and experimentation purposes, he made a forum v2ex.com running on Gae. "At the time, I felt gae ...

Manhattan, Twitter real-time, multi-tenant distributed database

Building a fully service-oriented system has always been the goal pursued by Twitter, and from the previous article, we shared Twitter to cope with the overall 143,000 TPS peak system overview, but the details of the various service components are not involved. Fortunately, the company recently disclosed Manhattan's independently developed database system, which delivers in-service features while delivering features such as high availability and availability. The following is translation: As Twitter grows into a global user exchange ...

Si anxin Dong Xin: data-driven security

2014 Zhongguancun Large Data day on December 11, 2014 in Zhongguancun, the General Assembly to "aggregate data assets, promote industrial innovation" as the theme, to explore data asset management and transformation, large data depth technology and industry data application innovation and ecological system construction and so on key issues. The Conference also carries on the question of the demand and practice of the departments in charge of the government, the finance, the operators and so on to realize the path of transformation and industry innovation through the management and operation of data assets. In the afternoon of the government @big Data Forum ...

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