Oracle Software Audit

BEIJING, July 22, 2014--companies are looking for innovative ways to manage as many data and data sources as possible. While technologies such as Hadoop and NoSQL provide specific ways to deal with large data problems, these technologies may introduce islands of data that can complicate data access and data analysis needed to form critical insights. In order to maximize the value of information and better handle large data, enterprises need to gradually change the data management architecture into a large data management system to seamlessly integrate various sources, all types of data, including Hadoop, relational databases, and nos ...

BEIJING, November 27, 2013 Oracle Large Data Machine x4-2 is now available, it provides a comprehensive and secure integrated system for the enterprise, for the operation of large data-oriented Cloudera overall platform and Cloudera enterprise to achieve optimization, reduce the total cost of ownership. Oracle Large Data Machine x4-2, Oracle large data connectors and Oracle Exadata comprise a comprehensive and integrated platform for large data. Oracle recently announced the introduction of Oracle Large Data machine x4-2 ...

"Tenkine Server channel November 27 message" Oracle recently announced the introduction of Oracle Large Data Machine x4-2, which provides the entire Cloudera enterprise technology stack and more than 33% of storage capacity, up to 864TB per rack. Oracle Large Data Machine x4-2 is a comprehensive large data platform optimized for batch processing and real-time processing by using Cloudera distributions for Apache Hadoop, Oracle nosql databases, Cloudera Impala, and C ...

In the interview of Simin data Liu Chengzhong, he said that the current large data domain enterprise-level market rely on technology monopoly to obtain high profits of the game is outdated, the cost of technology will continue to decline, this is the general trend, the market giant will appear in the technology is very good, but better service companies. From the user's point of view, the user's first concern is how to make the data value, then the solution depends on what kind of technology, whether it can quickly apply, whether it can adapt to the next possible expansion, relative technology, 1th is more difficult. In fact, today's corporate customers, particularly in the field of large data technology, ...

Content Summary: The data disaster tolerance problem is the government, the enterprise and so on in the informationization construction process to be confronted with the important theory and the practical significance research topic. In order to realize the disaster tolerance, it is necessary to design and research the disaster-tolerant related technology, the requirement analysis of business system, the overall scheme design and system realization of disaster tolerance. 　　Based on the current situation of Xinjiang National Tax Service and the target of future disaster tolerance construction, this paper expounds the concept and technical essentials of disaster tolerance, focuses on the analysis of the business data processing of Xinjiang national tax, puts forward the concrete disaster-tolerant solution, and gives the test example. Key words: ...

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, ...

&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; For Telecom Enterprises, database security is very important. Just imagine the problem with the recharge system? What happens to the system when a mobile phone user checks the bill at the end of the month? The following is a telecom enterprise database operators in the database security aspects of some of the experience, as well as the star-Chen database security experts to give suggestions, hope to have some inspiration and reference. Database version ...

April 8, 2014, Microsoft formally put an end to the technical support of Windows XP, as the longest service in human history of the computer operating system, in its lockout, user information security, and even national information security are facing serious challenges. How can this kind of security threat be effectively resolved after 5 months? Browser is an important way to attack viruses, in a comprehensive software market, how can we choose safe and effective tools and measures to prevent this ensuing security crisis? September 24-25th, at home and abroad hundreds of security field top ...

Storage and data center infrastructures are key to building cloud computing business. Any cloud platform attaches great importance to performance, scalability, and the value of Low-cost data storage in direct contact with customers or through service providers. The customer's data center is its lifeline, and data center security is the primary criterion for measuring cloud success. 　　At the same time, efficient and flexible management of the data center is also the building of cloud services to achieve the basis of cloud delivery. 　　What companies around the world have a breakthrough in cloud computing and deserve attention? 1.Abiquo abiquo ...

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 ...