Schema-on-Read

Schema-on-read is one of the core principles of data lake architectures. Instead of enforcing strict structural constraints at write time, data can be interpreted with an appropriate schema when it is actually needed. This flexibility is advantageous across multiple use cases, but it also requires more careful management of data quality and field meaning. It is especially important in exploratory analytics and multi-source raw data environments.