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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 ...

2014: Development Opportunities for ARM and Cloud Co-existence, Problems and Challenges co-exist

The battle for architecture between ARM and Intel processors continues. Intel x86 advanced in the industry's status is indeed unshakeable, but ARM significant power advantages, the future will obviously be more attractive. That kind of CPU is the most able to meet future needs? ARM 2011 released the Cortex-A15 processor, which uses multi-core out of order superscalar design, clocked at up to 2.5 GHz. Cortex-A15 is of great importance as it runs counter to the previous generation of ARM designs.

From pain to worship Ellison, why is Bokong cloud computing?

Until the recent 2009, Ellison was also the largest cloud-computing attacker in the IT industry. He questioned what the cloud was, accusing VCs of being fashionable and refusing to accept cloud computing as the current buzzword. Since then, however, Ellison's view of cloud computing seems to have changed. Now, Ellison stands out to tell the benefits of Oracle's growing cloud of products. Mr Ellison even disclosed last week that Oracle would release Oracle Cloud from SaaS (software as a service) and PAAs (Platform as service ...) at the OpenWorld show next week.

Interpretation of large data processing and analysis methods

More and more applications involve big data, the attributes of these large data, including quantity, speed, diversity, and so on, are presenting a growing complexity of large data, so the analysis of large data is particularly important in large data areas, which can be a decisive factor in determining the value of final information.   Based on this, what are the methods and theories of large data analysis? Five basic aspects of large data analysis Predictiveanalyticcapabilities (predictive analysis capability) data mining allows analysts to better understand the number ...

Large data technology hot shortage of professional talent into development constraints

Guide: While there are security issues, Hadoop is ready for large projects deployed in large enterprises. Hadoop, the top open source project for Apache, is mainly used to analyze large datasets, which are now widely used by internet companies such as ebay, Facebook, Yahoo, AOL and Twitter. Last month Microsoft, IBM and Oracle also embraced Hadoop. More and more companies have started to grope for Hadoop technology, in order to deal with blog, click the data brought by ...

Analysis of database security and development based on cloud computing

Cloud services and cloud computing any web-based applications and services provided by cloud computing can become cloud services. Cloud services This model can significantly improve the interests of smaller companies and enterprises, compared with the company-specific ERP, the use of cloud services such a model can achieve centralized resource allocation and resource management, but also better meet the needs of users, to achieve procurement configuration, to avoid waste of resources. The company's professional and technical personnel will be regularly maintained and maintained, can significantly reduce costs.   The reliability, expansibility and stability of the system are improved remarkably. The advantages of cloud services are low cost and similar to China ...

7 Big Data programs to reshape the healthcare industry

Skepticism is a double-edged sword. Without skepticism, IT managers might invest in software that is useless. Enough scepticism can allow IT departments to wait for enough evidence to prove that a particular platform can deliver good results. Data analysis of medical industry reaching critical mass data analysis has now reached a tipping point for the medical profession. Some vendors promise to provide better quality of care while reducing spending, but there is evidence that these claims are controversial. Similarly, critics of the big data movement point out that the healthcare industry is running ...

The new game that cloud brings to server

1. Open architecture vs Closed environment Open architecture server platform and closed platform The essential difference is not whether the software is open source or not. What we are talking about here is the openness and closure of the underlying infrastructure. Unlike the traditional RISC minicomputer closed environment, the closed environment in cloud computing is more specific to the solution, the relative closure of each part of the data center. The open architecture, on the other hand, is the x86 architecture server that is at its zenith, and its open ecological environment is widely recognised. So, for cloud computing and ...

Oracle launches broadest cloud strategy adds "social cloud"

"After nearly 7 years of non-stop effort, innovation and key strategic acquisitions, plus billions of of dollars in investment, we are now announcing the most comprehensive cloud in the world," said CEO Larry Ellison, Oracle's chief executive. "The vast majority of cloud vendors have only a few subdivisions of assets and lack of an expanded platform." Oracle is the only vendor that can provide a comprehensive suite of modern, social applications, all based on a standardized platform. "In the important strategy released today, ...

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