Determining the structure of data and the relationships between data elements either right before or at the time of use of the data is called schema on write.
The term "schema on write" refers to the process of building a schema for data before writing it to a database.
Because you utilized Structured Query Language (SQL) to access data from the database, if you've done any kind of database programming, you are familiar with the structured nature of Relational Databases (RDBMS).
ETL labor, or extract, transform, and load, is one of an RDBMS's most time-consuming tasks. Never assume that data is structured from the beginning just because it is.
Unstructured data makes up the majority of the available data. You must not only describe the data's schema but also organize the data according to that model.
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