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ETL (Extract, Transform, Load) Processes
Data Warehousing
Data Modeling

DATA WAREHOUSING

Efficiently consolidate data from various sources through robust ETL processes, improving accessibility and analytical capabilities with Microsoft Fabric or Google Bigquery

KEY COMPONENTS
Data Integration

  • Integration of data from disparate sources for a unified view.

  • Handling of data consistency and quality issues.

ETL (Extract, Transform, Load) Processes

  • Implementation of ETL processes to extract data from source systems.

  • Transformation of data to meet the data warehouse schema.

  • Loading of transformed data into the data warehouse.

Data Modeling

  • Creation of a conceptual, logical, and physical data model.

  • Definition of data structures and relationships to support business requirements.

Data Integration
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