One of the essential knowledge to become a software quality analyst is the mastery of databases. This is because the quality of a software is directly linked to the quality of the data it handles and stores.
To begin with, it is important to understand that a database is a system that allows you to store, organize and manage information in a structured way. There are several types of databases, from the simplest, such as SQLite, to the most robust, such as Oracle or SQL Server.
To work with databases, you must have knowledge of query languages such as SQL, which allows you to perform operations such as inserting, updating, deleting and selecting data. In addition, it is important to understand concepts such as data modeling, normalization, referential integrity, and indexing.
Another relevant point is knowledge of database management tools, such as MySQL Workbench, Microsoft SQL Server Management Studio or Oracle SQL Developer. These tools allow you to create, modify and visualize the structure of databases, as well as run queries and scripts.
In addition, it is important to have knowledge in non-relational databases, such as MongoDB or Cassandra, which have become increasingly popular in modern and scalable applications.
In summary, to be a good software quality analyst, it is essential to master databases, from modeling to data manipulation. This will ensure the quality of the data handled by the software, in addition to identifying and correcting problems related to performance, security and data integrity.
