Sql Server Synchronous Replication

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: ...

What is Sina app Engine Sina app Engine (SAE) is the first public cloud computing platform (http://), which was developed in-house in August 2009 and officially launched the initial alpha version on November 3, 2009. sae.sina.com.cn), SAE is the core component of Sina's cloud computing strategy. &nbs ...

Hadoop is a large data distributed system infrastructure developed by the Apache Foundation, the earliest version of which was the 2003 original Yahoo! Doug cutting is based on Google's published academic paper. Users can easily develop and run applications that process massive amounts of data in Hadoop without knowing the underlying details of the distribution. The features of low cost, high reliability, high scalability, high efficiency and high fault tolerance make Hadoop the most popular large data analysis system, yet its HDFs and mapred ...

The appearance of MapReduce is to break through the limitations of the database. Tools such as Giraph, Hama and Impala are designed to break through the limits of MapReduce. 　　While the operation of the above scenarios is based on Hadoop, graphics, documents, columns, and other NoSQL databases are also an integral part of large data. 　　Which large data tool meets your needs? The problem is really not easy to answer in the context of the rapid growth in the number of solutions available today. Apache Hado ...

Editing this list is like choosing the top ten Classic rock songs. There are always people who disagree with your choice, and there are too many good things to pick. What you choose depends largely on your personal preferences. But here on cloud deployments, I believe the following cloud deployments are the most interesting: 1. Internal Cloud upgrade Sales EMC is not just talking and not doing on the cloud. Within EMC's internal IT organization, the company is actively serving internal users in the form of cloud-based services. EMC has created a foundation for EMC hardware/software, Dell Servers, and VMware ...

The concept of cloud storage has gradually taken root, and the following 10 cases of cloud storage will give readers more intuitive feelings. 1. Internal Cloud upgrade Sales EMC is not just talking and not doing on the cloud. Within EMC's internal IT organization, the company is actively serving internal users in the form of cloud-based services. EMC has created a framework based on EMC hardware/software, Dell Servers, and VMware to provide users with a virtual desktop through its cloud. However, EMC's intent is not to provide all services and applications through the cloud. EMC's model is for users ...

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 ...

With the start of Apache Hadoop, the primary issue facing the growth of cloud customers is how to choose the right hardware for their new Hadoop cluster. Although Hadoop is designed to run on industry-standard hardware, it is as easy to come up with an ideal cluster configuration that does not want to provide a list of hardware specifications. Choosing the hardware to provide the best balance of performance and economy for a given load is the need to test and verify its effectiveness. (For example, IO dense ...