Exadata Data Warehouse

This article is for IBM system architect Mr. Wang Wenjie (valen_won@hotmail.com) in its blog park Zhiding Bowen thinking EXADATA (link original address: http://www.cnblogs.com/wenjiewang/archive/2012/10/07/ 2714406.html) mentioned some of the views on the Exadata from the technical point of view gives my personal opinion of some different, of course, I have limited level, it is inevitable that omissions or mistakes. ...

January 31, 2012 News, China Mobile Communications Group Fujian Co., Ltd. (Fujian Mobile) announced that the deployment of Oracle Exadata Database cloud Server to create a new generation of business Analysis System (Business analyze Support systems, Bass system) to further support its all-round development needs. Fujian Mobile is a wholly-owned subsidiary of China Mobile (Hong Kong) Limited, under the jurisdiction of 9 municipal branches, 61 counties (city) branch. At present, Fujian Mobile has been built to cover the area ...

BEIJING, November 23, 2012--Shenhua Group Co., Ltd. ("Shenhua Group") uses Oracle Exadata Database Cloud Server (Oracle Exadata DB Machine) to build a private cloud platform that supports its enterprise data. In recent days, all applications in Oracle Siebel and SAP ECC Core systems were successfully migrated to Oracle Exadata database cloud platform. Through the implementation of this project, Shenhua Group simplifies its data center ...

I think the data Warehouse can help the enterprise to deal with the data problem in three ways: first, in an enterprise Data warehouse, you divide your data according to the subject area, which is often more stable. 　　Organizations that want to understand the "big data" concept need to make a choice between the traditional data warehouse concept and the existing Data Warehouse architecture, or the increasingly popular open source Hadoop distributed processing platform, or the combination of the two. Those who want to move from simple BI reports to deep data mining and predictive analytics ...

Integrated equipment (appliance) and large data analysis features have been the focus of attention in the latest 2012-year Data Warehouse Magic Quadrant report of Gartner, where major data warehouse vendors have increased their input in their offerings. This article will be the current industry's major manufacturers and products to make a comparison, end users can also be based on their own needs to evaluate the data Warehouse products. After acquiring Aster Data Bae last year at a price of 263 million dollars, Teradata's product line gets ...

According to IDC, global data will reach 10 trillion TB in 2015, and the annual composite growth rate will reach 38% in 2020. Due to the lower cost of data, the rapid increase of data volume, coupled with the emergence of new data sources and data technology has evolved a variety of data types. Big data is waving at us. With large data, large data analysis and proper management will have a great impact on the enterprise data center. 　　As the world's largest database software company, Oracle is in time to launch a number of technology products for large data to meet the needs of enterprises and enhance their own value. ...

Data Warehouse Environment, ORACLE rac,100t data, daily archive that amount of 5T (for data that does not need to be backed up, has been adopted in a nologging way to reduce the number of files), how to develop backup and recovery scenarios? Programme I: DataGuard DataGuard is the most cost-effective backup and disaster-recovery solution, but when the archive exceeds a certain scale, DG Restore becomes the bottleneck, the daily production of the archive can not be restored in time, we have tried many tuning methods, including parallel recovery, can not be resolved, recovery ...

Today, some of the most successful companies gain a strong business advantage by capturing, analyzing, and leveraging a large variety of "big data" that is fast moving. This article describes three usage models that can help you implement a flexible, efficient, large data infrastructure to gain a competitive advantage in your business. This article also describes Intel's many innovations in chips, systems, and software to help you deploy these and other large data solutions with optimal performance, cost, and energy efficiency. Big Data opportunities People often compare big data to tsunamis. Currently, the global 5 billion mobile phone users and nearly 1 billion of Facebo ...

The concept of large data, for domestic enterprises may be slightly unfamiliar, the mainland is currently engaged in this area of small enterprises. But in foreign countries, big data is seen by technology companies as another big business opportunity after cloud computing, with a large number of well-known companies, including Microsoft, Google, Amazon and Microsoft, that have nuggets in the market. In addition, many start-ups are also starting to join the big-data gold rush, an area that has become a real Red sea. In this paper, the author of the world today in the large data field of the most powerful enterprises, some of them are computers or the Internet field of the Giants, there are ...

Over the past few years, with the transactional IT to interactive IT transition, corporate data began to show an explosive growth. Due to the rise of social media, the massive applications of digital sensors and the popularization of mobile devices have directly led to the rapid emergence of various large amounts of big data. This kind of multi-structured data market value is not high, but the huge amount of data contains a hidden huge wealth. Thus, how to effectively manage big data has become a topic of concern to the industry. According to 2011 Unisphe ...