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    • DSN (Data Source Name)

      DSN (Data Source Name)

      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

    • Data Dictionary

      Data Dictionary

      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

    • ODBC (Open Database Connectivity)

      ODBC (Open Database Connectivity)

      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

    • Data Management

      Data Management

      Data Management is a broad field of study, but essentially is the process of managing data as a resource that is valuable to an organization or business. One of the largest organizations that deal with data management, DAMA (Data Management Association), states that data management is the process of developing data architectures, practices, and procedures

    • Database Normalization

      Database Normalization

      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

    • Data Mining

      Data Mining

      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

    • Relational Database

      Relational Database

      A relational database stores data in separate tables instead of placing all data in one large table. It then allows Data Base Administrators (DBAs) to define relationships between these tables. These relationships enable DBAs to combine data from several tables for querying and reporting. This is accomplished through the use of keys, which are database

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