Naming Conventions in Data Warehousing

What to consider for naming conventions in Data Warehousing

An initial decision of critical importance within Data Vault development relates to the definition of naming conventions for database objects. As part of the development standardization, these conventions are mandatory as to maintain a well-structured and consistent Data Vault model. It is important to note that proper naming conventions boost usability of the data warehouse, not only for solution developers, but also for power users within data exploration. 


It is one aspect to simply define naming conventions utilized within the development of your data warehouse, but it is completely another to establish consistency as to create defined naming conventions that are to become standards. That said, it is a good practice to document a guideline for naming Data Warehouse objects. To that end, the next sections will discuss several considerations to take account of when defining the naming conventions for a data warehouse solution.


There are several options, when it comes to considering letter case for names: all uppercase, all lowercase, Camel Case, Pascal Case. Though the variances may be slight, each option does have its own advantages and disadvantages regarding legibility as well as type-ability, to briefly touch upon the differences. 

Ultimately, the decision regarding letter case falls to the decision of which database management system is used as some, such as PostgreSQL, support case-sensitive object name which requires the use of quoted names. Therefore, users often prefer the lower-case by default in PostgreSQL as having lower-cased object names can reduce the amount of code that is to be generated while simultaneously improving the usability for ad-hoc queries by power users. Nevertheless, it is imperative to maintain one consistent letter case for both entity and column names.