Large Scale Database

The concept of blockchain to technology has been around for a long time, but with the heat of the past two years, it has gradually become known by the market and many technicians.

The development of the big data industry has been included in the National Development plan, and in 2014, "Big Data" first appeared in this year's "Government work Report". 　　"Government work Report" pointed out that to set up new industries entrepreneurial innovation platform, in large data and other aspects of overtaking advanced, leading the future industrial development. Large data construction is inseparable from high-performance database software, unfortunately, the current database market in China, Oracle [micro-BO], ibm[Micro-BO] as the representative of the foreign database software is still in the dominant position, a lot of database software for the government procurement is still accustomed to using foreign products, ...

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 two of the most popular technologies in the field of information management, the hardware architecture of database integration machine and large data technology is basically the same, but the software system has the essential difference, which leads to the different characteristic performance. With the rapid growth of enterprise data and the continuous improvement of users ' requirements for service level, the traditional relational database technology has shown obvious lack of ability in production practice for a long time. How to obtain high availability of massive data at reasonable cost has become a major challenge in modern it field. In order to meet this challenge, in recent years, it market ...

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. ...

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. ...

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 ...

Today's world is a large data age of the information world, our life, whether life, work, learning are inseparable from the support of information systems. The database is the place behind the information system for saving and processing the final result. 　　Therefore, the database system becomes particularly important, which means that if the database is facing problems, it means that the entire application system will also face challenges, resulting in serious losses and consequences. Now the word "Big Data age" has become very popular, although it is unclear how the concept landed. But what is certain is that as the internet of things 、...

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 ...

April 24, we released a preview version of the SQL Database base level (preview) and standard (preview) new service levels and new business continuity features. In this blog post, we delve into the performance of new levels in SQL Database. Begin with the need for change. We focus on performance (specifically predictable performance) in new service levels, driven primarily by strong customer feedback on SQL Database Web-Level and enterprise-class performance. Web-and enterprise-level performance ...