Access Database Design

Written by Jill Morrison
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Microsoft Access is a type of database management system (DBMS). This program basically provides businesses with the software tools needed to organize large amounts of important data. Database management systems, such as Access, are more flexible and efficient for storing data than spreadsheets, text documents, or paper filing systems. They also allow for businesses to organize, update, and modify data in ways that other data storing methods cannot.

Creating a Database Design with Access

Microsoft Access is one of the easiest and most flexible programs for database management on the market. Access users will experience the familiar look and feel of Windows systems in the process. Access also offers wizards and office helpers to make the process easier to understand for novices. Computer systems must meet the minimum Microsoft system requirements before Microsoft Access can be utilized.

Microsoft Access allows users to organize data into tables. Using database tables is ideal for large businesses that rely on data organization. These tables are very similar to spreadsheets, but they offer many more options for manipulating data. For instance, database management tables can update records in bulk, perform complex aggregate calculations, retrieve records that match certain criteria, and cross-reference records in different tables. Excel spreadsheets and other data organization systems cannot perform these functions.

With Microsoft Access, posting data on the Internet is a simple task. Access also offers more advanced features such as ways to provide interactive data manipulation to internet users. Businesses that utilize SQL servers will be happy to know that Microsoft Access can retrieve and work with data that is stored on these database servers. The real benefit in using an Access database is the ability for it to answer complex requests, or queries. Businesses can use Access to place conditions on retrieved data and to combine data from multiple tables for effective data organization.

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