Join our book community on Discord
It is common that, after completing a data analysis task, in which data is extracted from a source system, processed, transformed, and possibly modeled, the output is stored in a database for persistence. You can always store the data in a flat file or export it to a CSV, but when dealing with a large amount of corporate data (including proprietary data), you will need a more robust and secure way to store it. Databases offer several advantages: security (encryption at rest), concurrency (allowing many users to query the database without impacting performance), fault tolerance, ACID compliance, optimized read-write mechanisms, distributed computing, and distributed storage.
In a corporate context, once data is stored in a database, it can be shared across different departments; for example, finance, marketing, sales, and product development can now access the data stored for their own needs. Furthermore, the data can now be...
