Types Of Data Replication

MongoDB is a product between relational database and non relational database, and is the most powerful and relational database in the relational database. The data structure he supports is very loose and is a JSON-like Bjson format, so you can store more complex data types. The biggest feature of MONGO is that the query language he supports is very powerful, and its syntax is somewhat similar to an object-oriented query language, which can almost achieve most of the functions of a single table query like relational database, and also supports indexing data. Just released MongoDB 1 ...

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: ...

In addition to the "normal" file, HDFs introduces a number of specific file types (such as Sequencefile, Mapfile, Setfile, Arrayfile, and bloommapfile) that provide richer functionality and typically simplify data processing. Sequencefile provides a persistent data structure for binary key/value pairs. Here, the different instances of the key and value must represent the same Java class, but the size can be different. Similar to other Hadoop files, Sequencefil ...

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...

It has been almost 2 years since the big data was exposed and the customers outside the Internet were talking about big data. It's time to sort out some of the feelings and share some of the puzzles that I've seen in the domestic big data application. Clouds and large data should be the hottest two topics in the IT fry in recent years. In my opinion, the difference between the two is that the cloud is to make a new bottle, to fill the old wine, the big data is to find the right bottle, brew new wine. The cloud is, in the final analysis, a fundamental architectural revolution. The original use of the physical server, in the cloud into a variety of virtual servers in the form of delivery, thus computing, storage, network resources ...

In recent years, with the emergence of new forms of information, represented by social networking sites, location-based services, and the rapid development of cloud computing, mobile and IoT technologies, ubiquitous mobile, wireless sensors and other devices are generating data at all times, Hundreds of millions of users of Internet services are always generating data interaction, the big Data era has come. In the present, large data is hot, whether it is business or individuals are talking about or engaged in large data-related topics and business, we create large data is also surrounded by the big data age. Although the market prospect of big data makes people ...

Zhang Fubo: The following part of the forum is mainly four guests, talk about cloud practice. Beijing First Letter Group is the Beijing government's integration company, mainly responsible for the capital window of the construction, they are also in the domestic, in the government industry earlier in a company, as the first letter Group Technical Support Center General Manager Zhang Ninglai for us to do the report. Zhang: Good afternoon, we have just introduced, I am from Beijing First Letter Development Co., Ltd., I bring today is the result of our practice in cloud computing technology these years. Today is mainly divided into three parts, we mainly do is the field of e-government applications, we are mainly ...

Just a few years ago, duplicate data deletion was a stand-alone feature, and data deduplication offered an alternative to the storage systems in the enterprise backup and archiving department. It also found new uses in cloud gateways to filter out unnecessary chunks of data before entering the array or virtual tape library. Now, it has become a unified computing system of the pre-integrated functionality. Understanding how to use this technology more effectively becomes a requirement.   At the same time IT managers should re-examine storage issues and ask the vendors who provide them with storage. 1. Data de-duplication technology for backup performance ...

This article combines the concrete practice of the digital campus construction of Zhejiang Media College. Based on the analysis of data integration method, the construction framework of data center information exchange platform is proposed. 　　It provides a scheme to eliminate information Island, establish information and Application specification and integrate application service. First, the data center information Exchange Platform Construction background Analysis 1, the Business system construction present situation in our school informationization construction process. Various departments according to their own business needs. Separately developed their own business systems. As shown in the table. Each of these systems has its own way of storing and accessing data. Independent of each other ...

The storage system is the core infrastructure of the IT environment in the data center, and it is the final carrier of data access. Storage in cloud computing, virtualization, large data and other related technologies have undergone a huge change, block storage, file storage, object storage support for a variety of data types of reading; Centralized storage is no longer the mainstream storage architecture of data center, storage access of massive data, need extensibility, 　　Highly scalable distributed storage architecture. In the new IT development process, data center construction has entered the era of cloud computing, enterprise IT storage environment can not be simple ...