Data Grid Components

• Data grids are comprised of software components that allow for the retrieval of old and new resources. True data grids can be extended and operate on a standard set of parameters. The framework of data grids is simple to set up for a variety of information types with the changing of basic intervals. Data grid components define how the information from the data grid will appear. These components are also responsible for defining who can gain access to the grid. Searching parameters for the data grid is another component that data grids must have.

Layout

• Data grid layout will be the manner in which the information is displayed. A tabular layout will provide a multi-record view of the data. Tabs or labels at the top of the data table provide basic information about the data that is listed in the columns below the tabs. Clicking on the individual tab headings will sort the data in descending order. The other columns will sort to keep the correct corresponding information flowing across the rows of the data grid. A column layout sets the tabs in one column and the information pertaining to those tabs in the rows that the heading begins. Stacked layout layers the headings with the information pertaining to the heading directly under it.

Access

• Data grids can be created with a variety of access rights. Fields of the data grid can be set up as "read-only" fields. This access type prohibits any changes from being made to the data grid. The minimum access level allows specific users to edit the records in the data grid. That level of access can also be permitted to delete or enter new records into the data grid. It is also possible to determine which fields a user is permitted to see.

Search

• Data grids can be difficult to navigate without a search function that allows the user to move through the data in the grid quickly. Search components can be set up as text searches, which are designed to search the entire data grid. The drawback to this type of search is the amount of time that can be required to search large data grids. Advanced searches allow in-depth parameters to be set on the search. Matching records or finding records within a specific data range are just two examples of advanced type searches.