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Building a modern data warehouse with SQL server, including ETL processes, data modelling and analytics.

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Data Warehouse and Analytics Project

Welcome to my repository!! This Projects is to demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating actionalbe insights. Designed as a portfolio projects highlights industry best pratices in data engineering and analytics.


Project Requirements

Building the Data Warehouse (Data Engineering)

Objective

Develop a modern data warehouse using SQL Server to consolidate sales data, enabling analytical reporting and informed decision-making.

Specifications

  • Data Sources : Import Data from sources system files (ERP and CRM) which provided as CSV files.
  • Data Quality : Cleanse and resolve data qualitiy issue prior to analysis.
  • Intergration : Combine both resources into single, user friendly data model designed for analytical queries.
  • Scope : Focus on latest datasets only; historical data not required.
  • Documentation : Provide clear documentation of the data model to support both business stakeholder and analytics teams.

BI : Analytics & Reporting (Data Analytics)

Objective

Develop SQL-based analytics to deliver detailed insights into:

  • Customer Behavior
  • Product Performance
  • Sales Trends

These insights empower stakeholders with key business metrics, enabling strategic desicion-making.


LICENSE

This Project is licensed under MIT License. Feel free to use,modify and share.

Credit

This whole project credited to Data with Bara. With his guidance I'm able to create this project.

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Building a modern data warehouse with SQL server, including ETL processes, data modelling and analytics.

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