Database Project Examples

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 ...

Hadoop MapReduce is a programming model for data processing that is simple but powerful enough to be designed for parallel processing of big data.

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 ...

This paper introduces how to build a network database application method by MySQL of the golden combination of Web database, PHP is a server-side embedded hypertext Processing language similar to Microsoft ASP, it is a powerful tool to build dynamic website. While MySQL is a lightweight SQL database server that runs on a variety of platforms, including Windows NT and Linux, and has a GPL version, MySQL is considered the best product for building a database-driven dynamic Web site. PHP, MySQL, and Apache are Linux ...

Two php tutorials export excel instance <? Php header ("content-type: application / vnd.ms-excel; charset = gbk"); header ("content- disposition: attachment; filename = test_data.xls" ...

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: ...

We have all heard the following predictions: By 2020, the amount of data stored electronically in the world will reach 35ZB, which is 40 times times the world's reserves in 2009. At the end of 2010, according to IDC, global data volumes have reached 1.2 million PB, or 1.2ZB. If you burn the data on a DVD, you can stack the DVDs from the Earth to the moon and back (about 240,000 miles one way). For those who are apt to worry about the sky, such a large number may be unknown, indicating the coming of the end of the world. To ...

The purpose of data mining is to find more quality users from the data. Next, we continue to explore the model of the guidance data mining method. What is a guided data mining method model and how data mining builds the model. In building a guided data mining model, the first step is to understand and define the target variables that the model attempts to estimate. A typical case, two-dollar response model, such as selecting a customer model for direct mailing and e-mail marketing campaigns. The build of the model selects historical customer data that responds to similar activities in the past. The purpose of guiding data mining is to find more classes ...

The purpose of data mining is to find more quality users from the data. Next, we continue to explore the model of the guidance data mining method. What is a guided data mining method model and how data mining builds the model. In building a guided data mining model, the first step is to understand and define the target variables that the model attempts to estimate. A typical case, two-dollar response model, such as selecting a customer model for direct mailing and e-mail marketing campaigns. The build of the model selects historical customer data that responds to similar activities in the past. The purpose of guiding data mining is to find more similar ...

The five major database models, whether relational or non relational, are the realization of some data model. This article will give you a brief introduction of 5 common data models, so that we can trace back to the mysterious world behind the current popular database solutions. 1. The relational model relational model uses records (composed of tuples) for storage, records stored in tables, and tables are defined by the schema. Each column in the table has a name and a type, and all records in the table conform to the table definition. SQL is a specialized query language that provides the appropriate syntax for finding records that meet the criteria, such as ...