Welcom to the Data waarhouse and analytics Project repository! This prject demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating actionable insights. designed as a portfolio project it hights industry best practices in data engineering and analytics.
Develop a modern data warehouse using SQL Server to consolidate sale data, enabling analytical reporting and informed decision-making
- Data Source: Import data froom two source systeme provided as CSV file.
- Data Quality: Cleanse and resolve data quality issues prior to analytics.
- Integration: Combine both sources into a single, user-friendly data model designed for analytics queries.
- Scope: Focus on the latest dataset only; historization of data isn't required.
- Document: Provide clear document of data model to support both business stakeholders and analytics teams.
Develop SQL-based analytics to delived detailed insights into: -Customer Behavior -Product Performance -Sales Trends
these insights epower stakeholders with key metrics, enabling strategic decision-making.
This project is license under the MIT license. You are free to use, and share project with proper attribution
Hi there! I'm ONDO THOMAS SERGES.I'm an data scientist.