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 warehouse design
Dimensional modeling (star schema, snowflake) or medallion (bronze/silver/gold) according to your needs.
Microsoft Fabric Lakehouse
Deploying data lakehouse in Fabric to combine mass storage with analytics capabilities.
Azure Synapse Analytics
Serverless or dedicated data warehouse in Synapse for high-performance analytical loads.
Cargo Pipelines
Automate data ingestion from all your sources to the warehouse with Data Factory.
Semantic Modeling
Semantic layer with unique definitions of metrics and dimensions for the entire organization.
Partitioning and Performance
Partitioning, indexing, and aggregation strategies for fast queries on large volumes.
Data Governance and Lineage
Documentation of the flow of data from source to consumption, with data dictionary.
Security and access control
Row-Level Security, roles, encryption, and access auditing to protect information.
TECHNOLOGIES
- Microsoft SQL Server
- Microsoft Azure
- Databricks
- Snowflake
- Microsoft Fabric
- Azure Synapse Analytics
- Azure Data Factory
FREQUENTLY ASKED QUESTIONS
Frequently asked questions about Data warehouse and data architecture
Dashboards and dashboards with Power BI
Design and development of interactive dashboards with Power BI: we connect your data sources, model the information and create clear dashboards with the KPIs that move your business.
Learn more →Data Integration and Modeling (ETL/ELT)
Extract, transform, and load data from your sources into a clean, consistent model. ETL/ELT with Azure Data Factory, Microsoft Fabric and open-source tools.
Learn more →Automated reports and KPIs
Automation of periodic reports and KPI monitoring with Power BI and Microsoft tools: distribution by email or Teams, alerts and subscriptions without manual intervention.
Learn more →Predictive and advanced analytics
Forecasting models with Python, machine learning, and Power BI to anticipate trends, demand, risk, and behaviors based on your historical data.
Learn more →Migration from Excel to Business Intelligence
We turn your Excel sheets into a professional BI environment with Power BI: automation, consistent data model, permissions, and removal of runaway versions.
Learn more →Power BI embedded in your apps
Integration of Power BI dashboards within your web applications, customer portals, and SaaS platforms with Power BI Embedded and per-tenant security.
Learn more →Data governance and quality
We define ownership, semantic governance, quality rules and access policies so that your data is reliable, traceable and has a clear owner.
Learn more →Power BI and data culture training
Hands-on in-company training in Power BI, DAX, data modeling, and data culture for your team to gain autonomy and make decisions based on reliable information.
Learn more →