Well, so far we have seen several useful use cases of data transformation.
Let's try to list these benefits:
- Data transformation promotes interoperability between several applications. The main reason for creating a similar format and structure in the dataset is that it becomes compatible with other systems.
- Comprehensibility for both humans and computers is improved when using better-organized data compared to messier data.
- Data transformation ensures a higher degree of data quality and protects applications from several computational challenges such as null values, unexpected duplicates, and incorrect indexings, as well as incompatible structures or formats.
- Data transformation ensures higher performance and scalability for modern analytical databases and dataframes.
In the next section, we will outline some of the challenges encountered...
