Database Hardware Or Software

The necessity of database encryption large database management system platform is typically Windows NT and Unix, these operating system security level is usually C1, C2 level. They have user registration, user identification, Arbitrary access control (DAC), audit and other security functions. Although the DBMS on the basis of the OS added a number of security measures, such as access control based on permissions, but the OS and DBMS on the database file itself is still lack of effective protection measures, experienced online hackers will "bypass", directly using the OS tools to steal or tamper with the database files ...

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, ...

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 ...

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 ...

After more than eight years of practice, from Taobao's collection business to today to support all of Alipay's core business, and in the annual "Double Eleven Singles Day" continue to create a world record for the transaction database peak processing capacity.

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 ...

1, introduction of cloud computing using virtualization technology, users do not need to understand its specific operating mechanism, but simply through the network to connect to the cloud computing services to obtain their own services needed to achieve a greater degree of network resource sharing. Peng, a Chinese grid computing and cloud computing expert, defines cloud computing as follows: "Cloud computing tasks are distributed across a pool of computer-intensive resources, enabling applications to gain computing power, storage space and various software services as needed." Cloud computing is the further development of distributed computing, parallel processing and grid computing, which is based on the Internet.

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 ...

Data encryption, database encryption technology Status quo and future trends? Can the product solutions in this area meet the needs of industry and enterprise users? Firewall is not a problem all of the anti-intrusion network security technology represented by the firewall is not equal to all information security. In the vast majority of information systems, the core data and data are stored in the way of the database, no encrypted database is like a locked file cabinet, for those with ulterior motives, plagiarism, tampering is a breeze. Therefore, the security of database should not be neglected. Database encryption system is to enhance the common relational database ...

It is well known that cloud OS Windows Azure and Cloud Database SQL Azure play a very important architectural role in Microsoft's cloud computing strategy. Among them, Windows Azure mainly includes three parts, one is the computing service of Operation application, the other is data storage service, the third is the controller (Fabric Controller) that manages and allocates resources dynamically based on cloud platform. And the database plays an important role in the entire Microsoft cloud strategy, especially for cloud database SQL Azure. In other words, SQ ...