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Inputs

Definition of cloud architecture to create ETL pipeline. Usually employing Data Factory, Datalake, Databricks, etc. 

Organize

Creation of gold, silver, and bronze containers for different stages of data processing.

Explore

Exploratory data analysis and various steps of ETL performed on the data.

Outputs

Training and deploying ML models using the processed data transformed and loaded in the ETL steps.

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