Databases are collections of organized information. The data is normally organized to help model the aspects of the information in a manner that support processing requests for information in a useful manner. A DBMS (database management system) is an application that is designed specifically to interact with the end-user, the database of information, and other …
Database normalization is the process of organizing data into distinct and unique sets. The purposes of normalization are to: Reduce or eliminate storage of duplicate data Organize data into an efficient and logical structure The process of normalization involves determining what data should be stored in each database table. By tradition, the process of normalization …
One of the technology terms that most people have become accustomed to hearing either at work or while surfing the Internet is the database. The database used to be an extremely technical term, however with the rise of computer systems and information technology throughout our culture, the database has become a household term. A database …
ODBC (Open Data Base Connectivity) is an interface to access databases via SQL queries. ODBC can be used as an access tool to various databases such as MS-Access, dBase, DB2, Excel, and Text. Through these Call Level Interface (CLI) specifications of the SQL Access Group, the OBDC allows a neutral way of accessing the data …
A DSN (Data Source Name) is an identifier that is used to store information relating to a database connection. DSNs can store a database’s name and server location, the directory that is used to store offline content, the database driver, and the user’s ID and password. DSNs can be used for a wide variety of …
A data dictionary is an integral part of a database. It holds information about the database and the data that it stores, i.e., the meta-data. Any well designed database will surely include a data dictionary as it gives database administrators and other users easy access to the type of data that they should expect to …
Data mining is usually defined as searching, analyzing and sifting through large amounts of data to find relationships, patterns, or any significant statistical correlations. With the advent of computers, large databases and the internet, it is easier than ever to collect millions, billions and even trillions of pieces of data that can then be systematically …