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7. Select the Delimited option, and click Next. 8. Clear the Tab check box, select the Comma check box, and click Finish. Notice that each data field is in a separate worksheet cell; each data record is on its own row; and there are the same number of data field values for each row.
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s To see all of the data field names and data field values, click the Select All button (the blank button in Tip
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the upper left corner of the worksheet), and click Home (Cells) Format AutoFit Column Width (for Excel 2007) or Format Column AutoFit Selection (for Excel 2003).
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9. Quit Excel, and quit Notepad.
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1.3 Learn About Relational Databases
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Similar to nonrelational databases discussed in the previous section, relational databases store data records in two or more data tables. However, relational databases are different than nonrelational databases in one key aspect: the data tables rely on each other to capture all of the facts and figures in the database. For example, in a nonrelational database containing customer sales history, one data table contains all of the customers names and addresses and all of the sales transactions for all of the customers. In contrast, in a relational database containing customer sales history, one data table would contain the customers names and addresses, while another data table would contain all of the sales transactions for all of the customers. You should consider using relational databases for all but the simplest of data lists. Very large flat file and nonrelational databases can be slow to open, tough to search in for specific data records, and prone to data-entry errors and data corruption. There are two main benefits to using relational databases vs. nonrelational databases. The first benefit of using relational databases is the efficient use of database space. Using the example of the nonrelational database in the preceding section, there would be a lot of repeated customer names and addresses and therefore increased wasted space. The second benefit of using relational databases is the reduction of data-entry errors. Duplicating data can increase the probability of data-entry errors every time you retype the same customer names and addresses. Once you remove the repeated customer names and addresses to a separate data table in a relational database, you can update the customer names and addresses in just one table. To declare relationships among data tables and cross-reference related data records in separate data tables to each other in a relational database, you use primary keys and foreign keys. A primary key is a data field containing a unique identifier such as a sequential number, a part number, a customer ID, or a Social Security number applied to each data record in the main table, also known as the primary-key data table. A foreign key then is a data field in the related table, also known as the foreign-key data table, containing the unique identifier from the related data record in the primary-key data table. For example, in the relational database example in the preceding section, you could assign each customer in the customer data table a unique ID number, and include the customer s unique ID number in each data record in the sales transactions data table for that customer.
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To create a relational database, create two or more data tables, and then enter data records into each data table. Make sure that each data table contains a primary-key data field and that each data record in that data table contains a unique identifier in the primary-key data field. Also, for each related data table, create a foreign-key data field, and make sure that each data record in the related data table contains a primary-key data value from the related record in the primary-key data table.
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