Your Operational Data Is Already Secure.
Now, Unlock Its Analytical Potential.
We protect your operational data with FortiSQL. Now we unlock its analytical potential with Data Lakehouse. Transform raw data into strategic decisions with Medallion Architecture and Microsoft Fabric.
"An optimized database secures operations. A Data Lakehouse unlocks the future. We build both."- Cesar Zanis
We protect your operational data with FortiSQL. Now we unlock its analytical potential with Data Lakehouse.
Medallion Architecture: From Chaos to Intelligence
We organize your data into three progressive quality layers, transforming raw data into strategic assets.
Bronze - Ingestion
Raw data ingested from ERPs, APIs, transactional databases, and IoT. No transformation, with full traceability. CDC (Change Data Capture) for incremental real-time capture.
Silver - Conformance
Clean, deduplicated, and standardized data. Business rules applied, cross-source joins, and quality treatment. Ready for analysis and machine learning.
Gold - Business
Aggregations optimized for consumption. KPIs, metrics, and dimensions ready for Power BI, executive dashboards, and AI models. Data that drives decisions.
The Hidden Cost of Fragmented Data
If any of these situations sound familiar, your company is losing strategic opportunities.
Signs of Underutilized Data
Manual reports in spreadsheets that take days and are already outdated when delivered.
Data in silos - ERP, CRM, and spreadsheets that don't communicate with each other.
Decisions based on guesswork because nobody trusts the available numbers.
BI team overloaded with ad-hoc requests instead of strategic analysis.
Compliance fears - sensitive data scattered without governance or traceability.
The Analytical Foundation that Drives Growth
Real-time decisions with dashboards automatically fed by reliable data.
Single source of truth - all departments looking at the same numbers.
Self-service analytics - business areas explore data without depending on IT.
AI and ML ready - structured and clean data to feed predictive models.
Governance and compliance - traceability, lineage, and access control at every layer.
Which Platform Is Right For You?
We are vendor-agnostic. We analyze your context, team, and budget to recommend the best platform - with no commercial bias.
Microsoft Fabric
Best for: Companies in the Microsoft ecosystem (SQL Server, Power BI, Azure AD). Unified analytics experience.
Advantages: OneLake centralizes all data. Native Power BI. Integrated Data Factory. Simplified capacity-based licensing.
Tradeoffs: Vendor lock-in with Microsoft. Less flexible for heavy custom ML workloads. Still maturing rapidly.
Databricks
Best for: Heavy ML/AI workloads, data science teams, multi-cloud environments. Native Delta Lake.
Advantages: Optimized Spark engine. Integrated MLflow. Unity Catalog for governance. Works on Azure, AWS, and GCP.
Tradeoffs: Cost can scale quickly with clusters. Learning curve for SQL-first teams. Limited native BI.
AWS (S3 + Glue + Athena)
Best for: AWS-native companies seeking cost-effectiveness at scale with serverless architecture.
Advantages: S3 as lowest-cost storage. Athena serverless (pay per query). Lake Formation for governance. Vast ecosystem.
Tradeoffs: Requires integrating multiple services. Fragmented experience vs. unified platforms. Higher operational complexity.
Google BigQuery
Best for: Fast, simple SQL analytics. Teams prioritizing simplicity and speed without managing infrastructure.
Advantages: Fully serverless. Familiar SQL with outstanding performance. Great for ad-hoc analytics. Integrated ML (BQML).
Tradeoffs: Less control over cost optimization for complex queries. Smaller GCP data ecosystem vs. AWS/Azure.
FortiSQL Complement
FortiSQL protects and optimizes your operational database. The Data Lakehouse extends that data for analytics without impacting transactional performance. Together, they cover the entire data journey.