Data Versioning for Modern Data Teams and Platforms
Advantages & Best Practices
Administrators and users of databases, data warehouses, and data lakes often face the same problem: the data they possess represents only the current state of the world.
Since the world is changing constantly, the data is also subject to constant change. If you want to get back or look into an older data status, you can look into a log file for example and restore it but it’s not handy for data analytic purposes. We need a solution that is practicable and that can coexist with the current data stock.
Moreover, newer systems store data in different formats and data sources, such as flat files. So, the ideal solution is a more comprehensive solution, which I will discuss later.
Data Versioning and Its Advantages
Data versioning is the storage of contrary versions of data that were created or changed over time. Versioning makes it possible to save changes to a file or a certain datarow in a database, for example. However, more than just the version after the last change is saved here.
First, there will be the initial version of a file that is saved. If a change is now made, this change is also saved, but at the same time the initial version remains. Thus, it is…
