This type of data repository has a defined schema which requires alignment-i.e. This is particularly important when the destination for the dataset is a relational database. This is inclusive of data transformations, such as filtering, masking, and aggregations, which ensure appropriate data integration and standardization.
Before data flows into a data repository, it usually undergoes some data processing. A data pipeline is a method in which raw data is ingested from various data sources and then ported to data store, like a data lake or data warehouse, for analysis.
