this Space demonsestrates how to implement data governance from the very scratch ,the main idea behind is to follow the rules and regulations of The data privacy act of various countries so as to minimize the brand loss and imprioving efficeny of governance without compromising the end result
** Data Sources **:Import Data from two sources (ERP AND CRM) provided as csv files. ** Data Quality **:Cleanse and resolve data quality issues to analysis ** Integration **:Combine both source into a single user friendly data model designed for analystics purposes ** Scope ** :Focus on the latest dataset ;historization isnt requirerd[updating this] ** Documentation **:Provide clear doccumentation of the data model to support both business stakeholders and analytics team
Power BI:data analytics & reporting{this isnt the scope of the project,but what the hell ------can easily be fully automated at this stage}
Develop Sql based analytics to deliver detailed insights into: ** customer behavior ** ** Product Perfromance ** ** Sales trends**
these insights empower stakeholders with key business metrics,enabling startegic decisiion making .
The Data architecture for this project follows Medallion Architecture bronze, Silver, Gold Layers
1.Bronze Layer Stores raw data as-is from the source systems.Data is ingested from CSV Files into Sql Server Database.
2.Silver Layer:This Layer includes data cleaning,standardization and normalization processes to prepare data for analysis.
3.Gold Layer :Houses business-ready data modeled into star schema required for reporting and analysitcs.
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data-warehouse-project/
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datasets/ # Raw datasets used for the project (ERP and CRM data)
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docs/ # Project documentation and architecture details
- etl.drawio # Draw.io file shows all different techniques and methods of E
- data_architecture.drawio # Draw.io file shows the project's architecture
- data_catalog.md #Catalog of Datasets,including field descriptions and metadata
- data_flow.drawio #Draw.io file for data models (star schema)
- naming-conventions.md # Consistent naimg guidelines for tables,columns and files
-scripts/ #SQL scripts for ETL and transformations
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bronze / #scriptas for extracting and loading raw data
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silver/ #scripts for cleaning and transforming data
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gold/ #scriptas for creating analystical models
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tests/ # Test scripts and quality files
-READme.md # Project overview and instructions
-LICENSE #Lincensce Information for the repsoitory
-.gitmore #Files and directories to be ignored by git
-requirments.txt #Dependencies and requiments for the project
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I dont consent for anyone to use this without looping me into it , i gnuinley need to improve this idea making governance better
An ElectricalEngineer with a nack to think out of the box! This is Pirated Mango BTW
Special thanks to @datawithbaraa and @caleb-curry