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MaxineXiong / Cloud-Data-Warehousing-with-AWS-Redshift

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This project builds a cloud-based ETL pipeline for Sparkify to move data to a cloud data warehouse. It extracts song and user activity data from AWS S3, stages it in Redshift, and transforms it into a star-schema data model with fact and dimension tables, enabling efficient querying to answer business questions.

etl aws-s3 postgresql data-warehouse infrastructure-as-code postgresql-database data-warehousing extract-transform-load aws-boto3 aws-redshift dimensional-model etl-pipeline redshift-cluster dimensional-modeling cloud-data-warehouse
  • Updated Sep 9, 2024
  • Jupyter Notebook

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