Oracle Set Lines

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Oracle: Determined to challenge and defeat IBM and SAP

After Oracle formally acquired SUN in 2010, Oracle CEO Larry Ellison disclosed to the public that it will compete with and beat IBM in high-end systems and compete with SAP in the application area And beat it. In 2013, Oracle's high-end M systems redefined extreme performance by defeating IBM Power systems in terms of price / performance and memory capacity. In addition, Oracle SaaS applications have been fully brought to market, with subscriptions up 35% by the end of the year. & nb ...

Oracle Yang Ge: Oracle Cloud Computing Strategy

Distinguished guests, distinguished experts, good afternoon! I really benefited from the speeches of the experts just now. As one of the leading manufacturers of it and Informatization, Oracle has its own cloud computing strategy, and I would like to take a moment to introduce Oracle's cloud strategy to you and discuss some of our cloud development plans. Of course, we will also introduce you to our products and solutions. First of all, Oracle believes that the definition of cloud should be more appropriate, it has several important features, including three types of service, SaaS ...

Yang Ge: Oracle Cloud Computing Strategy

In the "2011 Medieval cloud computing and cloud Services Development Summit Forum", Oracle middleware China Regional Marketing department general manager Yang Ge to "Oracle Cloud Computing Strategy" as the theme of the speech, the following is a transcript of the speech. Distinguished guests, distinguished experts, good afternoon! I really benefited from the speeches of the experts just now. As one of the leading manufacturers of it and Informatization, Oracle has its own cloud computing strategy, and I would like to take a moment to introduce Oracle's cloud strategy to you and discuss some of our cloud development plans. ...

Database server Security

The database server is actually the foundation of every electronic transaction, financial and enterprise resource Planning (ERP) system, and it often includes sensitive information from business partners and customers. Although the data integrity and security of these systems are important, the level of security checks taken against the database is not as high as the security measures of the operating system and the network. Many factors can disrupt data integrity and lead to illegal access, including complexity, poor password security, misconfigured, undetected system backdoor, and mandatory routine use of adaptive database security methods ...

Construction of disaster tolerance mode in dual data center

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: ...

3G and cloud computing CRM set off the new revolution of application

After 1998-2003 years of the first wave and the 2003-2008 second wave of accumulation, as well as software, mobile communications, mobile terminals in recent years, the rapid development of three modern information technology, especially in recent years cloud computing surging, since 2011, domestic CRM in the concept, technology, products, Application and so on increasingly mature, China's CRM market is now fully ushered in the third wave, set off a new CRM application revolution. 3G, let CRM "move" up and down the emergence of CRM, changed the past customer information dispersed, customer management ...

Huawei Cloud Computing: Evolution from integration to Oneness

September 5 Morning comments The industry's focus on the "2012 Huawei Cloud Computing Conference" will be officially opened at the Shanghai International Conference Center, which is the third consecutive year Huawei held the IT industry event, attracted nearly 3,000 Huawei partners, customers and industry participants. With the theme of "streamlining it and agile business", the conference will showcase the progress made by Huawei and more than 400 partners in the areas of it product layout, solution capability, industrial chain depth and business innovation. As Zheng, president of Huawei it product line, said, "the integration of it and CT is ...

Java in the processing of large data, some tips

As we all know, Java in the processing of data is relatively large, loading into memory will inevitably lead to memory overflow, while in some http://www.aliyun.com/zixun/aggregation/14345.html ">   Data processing we have to deal with massive data, in doing data processing, our common means is decomposition, compression, parallel, temporary files and other methods; For example, we want to export data from a database, no matter what the database, to a file, usually Excel or ...

The premise of website data analysis

Data quality (Quality) is the basis of validity and accuracy of data analysis conclusion and the most important prerequisite and guarantee.   Data quality assurance (Quality Assurance) is an important part of data Warehouse architecture and an important component of ETL. We usually filter dirty data through data cleansing to ensure the validity and accuracy of the underlying data, and data cleaning is usually the front link of data entry into the Data warehouse, so the data must be ...

Website Data analysis: The premise of analysis-data quality 1

Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest cloud host technology Hall Data quality (information Quality) Is the basis of the validity and accuracy of the data analysis conclusion and the most important prerequisite and guarantee.  Data quality assurance (Quality Assurance) is an important part of data Warehouse architecture and an important component of ETL. ...

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