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Data cleansing. Data cleansing or data cleaning is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data. [1]
Microsoft Access. Microsoft Access is a database management system (DBMS) from Microsoft that combines the relational Access Database Engine (ACE) with a graphical user interface and software-development tools. It is a member of the Microsoft 365 suite of applications, included in the Professional and higher editions or sold separately.
The problem of database repair is a question about relational databases which has been studied in database theory, and which is a particular kind of data cleansing. The problem asks about how we can "repair" an input relational database in order to make it satisfy integrity constraints. The goal of the problem is to be able to work with data ...
By simply changing a database's file extension from .accdb to .accdr, you can create a "locked-down" version of your Office Access database. You can change the file extension back to .accdb to restore full functionality..accdt – The file extension for Access Database Templates..accdu – Access add-in file; Other OneNote
Comparison of database administration tools. The following tables compare general and technical information for a number of available database administration tools. Please see individual product articles for further information. This article is neither all-inclusive nor necessarily up to date. Systems listed on a light purple background are no ...
In 1995, Microsoft bundled Access into their Microsoft Office Professional Suite with Word, Excel, and PowerPoint. This effectively killed the end-user desktop database market for standalone products. [citation needed] Despite solid follow-on versions with improvements to usability for entry-level users, Paradox faded from the market.
Data recovery. In computing, data recovery is a process of retrieving deleted, inaccessible, lost, corrupted, damaged, or formatted data from secondary storage, removable media or files, when the data stored in them cannot be accessed in a usual way. [1]
HeidiSQL is a free and open-source administration tool for MariaDB, MySQL, as well as Microsoft SQL Server, PostgreSQL and SQLite. Its codebase was originally taken from Ansgar Becker's own MySQL-Front 2.5 software. Due to having sold the MySQL-Front branding to an unrelated party, Becker chose "HeidiSQL" as a replacement.