BUSINESS INTELLIGENCE
Data warehouse and modern data architecture
We design and implement your data warehouse (data warehouse or lakehouse) to centralize all your information and exploit it at scale.
What is Data warehouse and data architecture?
When volume and data sources grow, Excel and operational databases fall short. A data warehouse (or a modern lakehouse) centralizes all your information in an analytics-optimized repository that scales and serves the entire organization.
We design the right data architecture for your case: classic data warehouse, data lake or lakehouse with Microsoft Fabric, Azure Synapse, Databricks or Snowflake. We structure data by layers (raw, curated, consumption), apply governance and security, and connect it with your BI and analytics tools.
The result is a robust, scalable, and governed data platform that unifies your historical and current information and enables reporting, advanced analytics, and AI on a trusted foundation.
FEATURES
Features of Data warehouse and data architecture
Data Architecture Design
Data warehouse, data lake or lakehouse depending on your needs and volume.
Layered model
Layered organization (raw, curated, consumption) for order and traceability.
Modern Platforms
Deploy with Microsoft Fabric, Synapse, Databricks, or Snowflake.
Source integration
Load all your sources into the warehouse with automated processes.
Government and security
Access control, catalog and data security.
Connecting to BI and Analytics
The vault powers Power BI, reports, and analytics models.
TECHNOLOGIES
- Microsoft SQL Server
- Microsoft Azure
- Databricks
- Snowflake
- Microsoft Fabric
- Azure Synapse Analytics
- Azure Data Factory
FREQUENTLY ASKED QUESTIONS