Example Of Redundancy In Database

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The successful way of Internet Entrepreneurship (v.): Database backup and management of Web site

The intermediary transaction SEO diagnoses Taobao guest Cloud host Technology Hall website completes, the maintenance and the management becomes the work which needs to carry on continuously.   In this chapter, the site will be optimized for internal links, efficient maintenance, PR upgrade way to introduce. First, optimize the internal links of the site two, the site efficient maintenance of three common sense three, improve the site PageRank have a coup four, site exchange links to beware of counterfeit five, against the vulgar ban on the site's illegal content six, simple configuration let Web server impregnable ...

Some principles needing attention in design of large database

A good database product is not equal to have a good application system, if can not design a reasonable database model, not only will increase the client and Server section program programming and maintenance of the difficulty, and will affect the actual performance of the system. Generally speaking, in an MIS system analysis, design, test and trial run stage, because the data quantity is small, designers and testers often only notice the realization of the function, but it is difficult to notice the weak performance, until the system put into actual operation for some time, only to find that the performance of the system is decreasing, At this point to consider improving the performance of the system will cost more ...

How to Choose Cloud Database

Would you like to run the database server on the IaaS cloud? Or should it be converted to a PAAs selection? The choice of a database as a service may sound tempting, such as Cloudant's nosql but how to weigh it? Developers and application designers have a lot of options for deploying databases in the cloud, and it's hard to make the best decisions. Regardless of which cloud database you choose, you need to measure a variety of factors, including cost, availability, scalability, and performance support. The current code may be difficult to select from the platform, the Service (PaaS) database, or even the relational database ...

SQL Server Database Optimization

Designing 1 applications doesn't seem to be difficult, but it's not easy to achieve the optimal performance of the system. There are many choices in development tools, database design, application structure, query design, interface selection, and so on, depending on the specific application requirements and the skills of the development team. This article takes SQL Server as an example, discusses the application performance optimization techniques from the perspective of the background database, and gives some useful suggestions. 1 database design to achieve optimal performance in a good SQL Server scenario, the key is to have 1 ...

Selection and design of bigtable type NoSQL database-products and technologies

Type selection and design of bigtable NoSQL database release time: 2012.04.16 14:20 Source: Blog Author: Blog This paper introduces the selection strategy and schema design principle of Bigtable/hbase type NoSQL database system. Data scale BigTable Class database system (Hbase,cassandra, etc.) is to solve ...

Discard relational database PHP programmers should know five things about MongoDB

"51CTO exclusive feature" 2010 should be remembered, because the SQL will die in the year. This year's relational database is on the go, and this year developers find that they don't need long, laborious construction columns or tables to store data. 2010 will be the starting year for a document database. Although the momentum has been going on for years, now is the age when more and more extensive document databases appear. From cloud-based Amazon to Google, a number of open-source tools, along with the birth of Couchdb and MongoDB. So what ...

optimization of SQL database for millions of loads

Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest cloud host technology Hall in the consideration of a website if the host million or tens of millions of PV, We tend to think in two directions instinctively: static and distributed. Of course, for Sina and other portal types of Web sites, static + read and write separation and distribution, can solve most of the problems. But we are facing more, may be large data + high and ...

Chenhao: The performance technology of Web site caused by 12306.cn

Intermediary transaction SEO diagnosis Taobao Guest Cloud mainframe technology hall with the advent of the 11 long holiday, everyone to the Ministry of Railways 12306 of the discussion again. This article (original) from 12306 website extension to the site performance of a lot of discussion, for entrepreneurs and technology enthusiasts have a strong reference.   The author Chenhao (Weibo) has 14 years of experience in software development, 8 years of project and team management experience. 12306.cn website Hung, was scolded by the people all over the country. I've been here for two days.

"Book pick" large data development of the first knowledge of Hadoop

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 ...

Data analysis platform architecture under large data

With the development of the Internet, mobile Internet and IoT, no one can deny that we have actually ushered in a massive data era, data research company IDC expects 2011 total data will reach 1.8 trillion GB, the analysis of these massive data has become a very important and urgent demand. As an Internet data analysis company, we are "revolt" in the field of analysis of massive data. Over the years, with stringent business requirements and data pressures, we've tried almost every possible big data analysis method, and finally landed on the Hadoop platform ...

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