Explain the ETL cycle's 3-layer architecture

Data Science, AI and ML
#1

The staging layer, the data integration layer, and the access layer are the three layers that are involved in an ETL cycle.

  • Staging layer: It is used to store the data extracted from various data structures of the source.
  • Data integration layer: Data from the staging layer is transformed and transferred to the database using the integration layer. The data is arranged into hierarchical groups (often referred to as dimensions), facts, and aggregates. In a DW system, the combination of facts and dimensions tables is called a schema.
  • Access layer: For analytical reporting, end-users use the access layer to retrieve the data.
#2

It is a process that allows to move data from one source (which can be multiple sources) to a destination (database, data mart, or data warehouse). During the process, the data can be transformed and cleaned.

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