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Business Intelligence, Data Warehousing, ETL

Jupyter Notebook 98.28% Python 1.72%
data-warehouse azure-vm etl airflow python jupyter-notebook power-bi postgresql bash-scripting ssh

dw_project's Introduction

Data Warehousing Project :

  • Description : Implementation of a Business Intelligence solution for the case study "Absence at INSEA".
  • Tasks :
  1. Desingning KPIs, DWH schema and the ETL pipeline.
  2. implementation and automation of the ETL process.
  3. Business Reporting.
  • Tools : Jupyter NB, Python, Airflow, Power BI, PostgreSQL

Data Warehouse Schema :

Schema

ETL pipeline (Airflow DAG) :

DAG

Power BI Dashborads :

  • Overall Stats Dash1
  • Filter by sexe Dash2

dw_project's People

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