Naming Your SQL Database: Best Practices and Tips

How do I name a SQL database?
In Object Explorer, expand Databases, right-click the database to rename, and then select Rename.
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There are a few best practices to adhere to when naming your SQL database to make sure that it is structured, understandable, and simple to use. A good database name should be memorable, succinct, and descriptive. Your database name should be descriptive and give some idea of the type of information it stores. For instance, “SalesDB” or “SalesData” would be appropriate names for your database if it contains sales data. A suitable name for your database would be “CustomerDB” or “CustomerData” if it contains customer information. You and others will be able to easily understand what data is kept within the database with the use of a descriptive name. Concise: Your database name should be brief as well. Shorter names are simpler to type and easier to recall. Don’t use long, complicated names that are hard to type or remember. Keep your database name to 20 characters or less as a general guideline. Easy to remember: The name of your database should be simple to recall. Use simple names that are easy to spell and remember as little as possible. The name of your database should be straightforward but descriptive. You must offer your tables in the database names in addition to a suitable database name. A database table’s name is known as a table name. Your table name should be evocative, succinct, and simple to recall, just like the database name.

The data that is kept in a table should be described in the table name. For instance, “Customers” may be a suitable name for a table that contains customer information. A decent name for a table that contains sales data could be “Sales”. You and others will be able to easily understand what data is kept within the table if the table name is descriptive.

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FAQ
What are the 4 types of database?

There are many methods to categorize databases, but one popular method is to separate them into four groups: relational, NoSQL, object-oriented, and hierarchical databases. The most common sort of database uses tables with rows and columns for data storage, known as relational databases. Contrarily, NoSQL databases, which might be document-, key-, or graph-based, place more of an emphasis on scalability and flexibility than precise data consistency. While hierarchical databases arrange data in a tree-like form with parent-child relationships, object-oriented databases store data as objects with properties and methods.