Oracle Transaction Isolation Level

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A distributed algorithm for deeply analyzing NoSQL database

The scalability of the system is the main reason for promoting the development of NoSQL movement, including distributed system coordination, failover, resource management and many other features. That makes NoSQL sound like a big basket that can be stuffed with anything. Although the NoSQL movement does not bring fundamental technological changes to distributed data processing, it still leads to extensive research and practice on protocols and algorithms. It is through these attempts to gradually summarize some effective database construction methods. In this article, I will focus on the NoSQL database distributed special ...

A distributed algorithm for deeply analyzing NoSQL database

The scalability of the system is the main reason for promoting the development of NoSQL movement, including distributed system coordination, failover, resource management and many other features. That makes NoSQL sound like a big basket that can be stuffed with anything. Although the NoSQL movement does not bring fundamental technological changes to distributed data processing, it still leads to extensive research and practice on protocols and algorithms. It is through these attempts to gradually summarize some effective database construction methods. In this article, I will focus on the distributed features of the NoSQL database ...

Cloud computing behind the data business

As the pioneer of the Internet finance field, founded at the end of 2009 Ali Small Loan development intention is to Taobao and Cat on the seller to provide microfinance business, to achieve "let the world No difficult business" goal. With the rich form of products, the expansion of service objects, small loan business growth quickly, on average annual growth rate of four to five times times.       After nearly 5 years of development, there have been more than 360,000 people from Ali small loan loans, the minimum loan amount of 1 yuan. With the traditional bank ...

Cloud World Congress Cloud Learning Link: The first game Vsphare

Today we're going to introduce Vsphare, starting with the entire third generation suite, with a virtualization consolidation ratio of around 30%. By 2010 to reach 40%, and now the fifth generation of precipitation can achieve more than 50% of the integration efficiency. For now, all the virtualization consolidation is accelerating, because customers have realized the benefits of virtualization, the benefits of cloud computing, so the entire virtualization is expanding, the fifth generation of Vsphare has been very optimized. This map is the fifth version of the cloud computing platform's main function, the most important is vSphare5, ...

The limitations of SQL transforming relational database to NoSQL

NoSQL systems generally advertise a feature that is good performance and then why? relational database has developed for so many years, various optimization work has been done very deep, nosql system is generally absorbing relational database technology, and then, in the end what is the constraints on the performance of relational database? We look at this problem from the perspective of http://www.aliyun.com/zixun/aggregation/9344.html "> System design." 1, index support. Relational data ...

Implementing an Android Device Enterprise database synchronization using IBM Mobile databases

This article is an attempt to explain how IBM Mobile database works and to combine examples to show how to use IBM Mobile databases to synchronize the data of an Android device with a back-end enterprise. IBM http://www.aliyun.com/zixun/aggregation/29908.html ">SOLIDDB is a memory relational database that runs as efficiently as 10 of the disk database ...

Hadoop Application Case Study: Facebook apps

Facebook, the world's leading social networking site, has more than 300 million active users, with about 30 million users updating their status at least once a month, with users uploading more than 1 billion photos and 10 million videos a week, and sharing 1 billion weekly content, including logs, links, news, tweets, etc. So the amount of data that Facebook needs to store and process is huge, adding 4TB of compressed data every day, scanning 135TB size data, performing hive tasks on the cluster more than 7,500 times per hour, and 80,000 times a week.

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