perhaps a separate schema provides a framework for managing how the encrypted data is stored and accessed from the application layer. perhaps you use two different accounts within the application to access that data because it requires elevated permissions to unencrypt the data in the database. In the questionWhat are the best databases for a small. Perhaps you have an application that, depending on the user group, has access to sensitive data. When comparing MySQL vs SQL Server Express, the Slant community recommends MySQL for most people. Having that audit schema allows you isolate elevated permissions to that specific schema without having to worry about it for the dbo schema.Īnother example would be isolating stored procedures running complex select statements that allow for input parameters to analysts and granting them execution rights on objects within that schema. But when you migrate to the production layer that service account executing the procedure needs to truncate some of the audit tables. The audit schema would allow you to both isolate and organize the tables storing the data apart from your mainline production data in the dbo schema, and it also provides you with a way to limit access to or extend access to objects within those schemas.įor instance, perhaps your service account would have truncation rights within the Staging database which is easy enough to manage. MSSQL Server is primarily intended for the Windows environment, while MySQL is platform-independent and can run on a variety of operating systems. In your production database you could feasibly create an (audit) schema for catching the statistics for your procedure execution, logging errors for failed executions, and isolating data that doesn't meet the requirements to get to the production layer. 1 I just downloaded MySQL workbench for the first time and it seems pretty easy to work with, noob friendly. Let's say you have some sort of reporting database, and you have some ETL stored procedures moving data between your staging layer and the production layer. I usually think that these people are the same people that once thought schemas were like folders in Windows and realized that they aren't, but also never bothered to learn how or when to use them. I've also seen people who think schemas are dumb and refuse to use them. But for a beginner, or even someone with more experience, the difference between the two can be confusing. I've seen databases where people approach schemas like they are folders in Windows. FebruSQL vs MySQL: A Simple Guide to the Differences SQL and MySQL are two of the most popular data management tools in the world. categorization of database objects - views, tables, procedures, triggers, functions, etc. In SQL server a schema serves two primary purposes within the organizational framework of a database
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