What Are Different Types Of Indexes In Oracle

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An in-depth interpretation of Oracle Exadata Technology

"IT168 Technical Documentation" Since Oracle and HP launched Exadata, I have been very concerned about this product, and previously wrote an Oracle database machine introduced it.   Last year, Oracle and Sun merged to launch Oracle Exadata V2, which has several changes compared to previous generations: first, using sun hardware; second, it claims to support OLTP applications; third, Oracle 11g R2 offers more new features. Exadata S ...

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: ...

The secret of Chief engineer: How LinkedIn's big data backstage works

Editor's note: Jay Kreps, a chief engineer from LinkedIn, says that logs exist almost at the time of the computer's creation, and there is a wide range of uses in addition to distributed computing or abstract distributed computing models. In this paper, he describes the principles of the log and the use of the log as a separate service to achieve data integration, real-time data processing and distributed system design. Article content is very dry, worth learning. Here's the original: I joined the LinkedIn company at an exciting time six years ago. From that time ...

The secret of Chief engineer: How LinkedIn's big data backstage works

Editor's note: Jay Kreps, a chief engineer from LinkedIn, says that logs exist almost at the time of the computer's creation, and there is a wide range of uses in addition to distributed computing or abstract distributed computing models. In this paper, he describes the principles of the log and the use of the log as a separate service to achieve data integration, real-time data processing and distributed system design. Article content is very dry, worth learning. Here's the original: I joined the LinkedIn company at an exciting time six years ago. From that time ...

Alipay supports the technical realization of the peak of database request for double eleven 42 million times / sec

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.

On the history of Internet development from the technology of famous websites

In recent years, with the continuous innovation and development of the Internet industry, batch after group of websites or be eliminated or stand out, for those successful websites, most of them already exist nearly 10 or more than 10 years, in such a long period of development, in addition to the business facing the challenges, Technically, it's also a lot of challenges. The following selected Alexa rankings of the previous site (ranking up to April 21, 2012, by analyzing how they are technically coping with the challenges of business development process, to a deeper understanding of the development of the Internet industry in recent years. ...

Recent advances in SQL on Hadoop and 7 related technology sharing

The greatest fascination with large data is the new business value that comes from technical analysis and excavation. SQL on Hadoop is a critical direction. CSDN Cloud specifically invited Liang to write this article, to the 7 of the latest technology to do in-depth elaboration. The article is longer, but I believe there must be a harvest. December 5, 2013-6th, "application-driven architecture and technology" as the theme of the seventh session of China Large Data technology conference (DA data Marvell Conference 2013,BDTC 2013) before the meeting, ...

LinkedIn large data Platform depth analysis (i)

I joined the LinkedIn company at an exciting time six years ago. From that point on, we cracked down on a single, centralized database and started switching to a special distributed System suite. This is an exciting thing: the Distributed graphics database, the distributed search backend, the Hadoop installation, and the first and second generation key value data stores that we build, deploy, and still run until today. The most rewarding thing we've learned from all of this is that the core of many of the things we build contains a simple idea: log. Sometimes ...

LinkedIn large data Platform depth analysis (i)

I joined the LinkedIn company at an exciting time six years ago. From that point on, we cracked down on a single, centralized database and started switching to a special distributed System suite. This is an exciting thing: the Distributed graphics database, the distributed search backend, the Hadoop installation, and the first and second generation key value data stores that we build, deploy, and still run until today. The most rewarding thing we've learned from all of this is that the core of many of the things we build contains a simple idea: log. Sometimes ...

Double 11 Data Operation Platform Order Feed Data Torrent Real-Time Analysis Solution

In 2017, the double eleven refreshed the record again. The transaction created a peak of 325,000 pens/second and a peak payment of 256,000 pens/second. Such transactions and payment records will form a real-time order feed data stream, which will be imported into the active service system of the data operation platform.

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