BUSINESS INTELLIGENCE
Data Integration and Modeling (ETL/ELT)
We unify your data from multiple sources with ETL/ELT processes and model it so that your reports are reliable, fast, and consistent.
What is Data Integration and Modeling (ETL/ELT)?
The quality of your reports depends on the quality of the data underneath. If each source says one thing and the data is dirty or duplicated, no dashboard will be reliable. That is why the work of integration and modeling is the foundation of Business Intelligence.
We design and implement ETL/ELT processes that extract data from your sources (ERP, CRM, Excel, databases, APIs), clean and transform it, and load it into a coherent data model. We use tools such as Azure Data Factory, Microsoft Fabric, and SQL, creating a dimensional model optimized for analysis.
The result is a single source of truth, with clean, consistent, and organized data, on which your reports and dashboards run fast and reliable.
FEATURES
Features of Data Integration and Modeling (ETL/ELT)
Source extraction
Connection with ERP, CRM, Excel, databases and APIs to collect data.
Cleaning and transformation
Cleansing, normalization, and unification of data from different sources.
Dimensional modeling
Design of models (facts and dimensions) optimized for analysis.
ETL/ELT Processes
Flows with Azure Data Factory, Fabric, and SQL to load your data.
Scheduled update
Automatic batch or incremental refresh depending on the source.
Data quality control
Validations and controls to ensure the reliability of the information.
TECHNOLOGIES
- Python
- PostgreSQL
- Microsoft SQL Server
- Power BI
- Microsoft Fabric
- Azure Synapse Analytics
- Azure Data Factory
FREQUENTLY ASKED QUESTIONS