For a reporting and analysis use case, organization of the data is determined when the data is used is called and this is called schema on read.
A data lake operates according to the schema-on-read principle. This indicates that data does not need to be fitted into a specified schema before being stored. The data is only parsed and customised into a schema as necessary when it is read during processing.
There are three different types of schema that is logical, physical, and view. Schema on read applies data to a plan or schema as it is retrieved from a stored location as opposed to as it is entered. Schema on read is a cutting-edge data analysis technique used in cutting-edge database technologies and new data-handling tools like Hadoop.
Schema is the database's overarching description and it refers to the fundamental organisation of the data that will be kept in the database.
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