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 …
Database replication is the creation and maintenance of multiple copies of the same database. In most implementations of database replication, one database server maintains the master copy of the database and additional database servers maintain slave copies of the database. Database writes are sent to the master database server and are then replicated by the …
When a company or organization wants to combine all of their information and resources into one stockpile for easier analysis and research, they use the OLAP cube to comprehensively link and find the information that they need. OLAP cubes allow you to add fact sheets of information to a specific product or project and then …
A transactional database is a database management system (DBMS) that has the capability to roll back or undo a database transaction or operation if it is not completed appropriately. Although this was a unique capability several decades ago, today the majority of relational database systems support transactional database operations. What is a Database Transaction? Whenever …
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 …
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 …
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 …