Records include data about something or someone, such as a particular customer. Here’s an example:Įach row of a table is called a record. To convert your lists of data into tables, start by creating a table for each type of entity, such as products, sales, customers, and orders. Within a database, related data are grouped into tables, each of which consists of rows (also called tuples) and columns, like a spreadsheet. To do that, you need to understand exactly how relational databases are structured. The next step is to lay out a visual representation of your database. Once you know what kinds of data the database will include, where that data comes from, and how it will be used, you’re ready to start planning out the actual database. ![]() Also, avoid placing the same data point in more than one table, which adds unnecessary complexity. For instance, consider separating the street address from the country so that you can later filter individuals by their country of residence. Be sure to break down the information into the smallest useful pieces. This information will later become part of the data dictionary, which outlines the tables and fields within the database. Then list the types of data you want to store and the entities, or people, things, locations, and events, that those data describe, like this: Start by gathering any existing data that will be included in the database. ![]()
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