Data Architecture
Build the foundation that scales. Modern data platforms designed for lakehouse architectures, real-time analytics, and AI readiness.
Build the foundation that scales. Modern data platforms designed for lakehouse architectures, real-time analytics, and AI readiness.
Problem
Expensive data warehouses that can't handle new workloads. Fragmented storage across data lakes and databases. Architectures designed for batch reporting now facing real-time AI demands.
Approach
We design scalable data architectures using lakehouse patterns, separating storage from compute, and enabling multiple processing engines on unified data.
Unified platform combining data lake flexibility with warehouse performance for all workloads.
SQL, Spark, and AI frameworks accessing the same data without duplication or movement.
Domain-oriented architecture with federated governance and self-service data products.
Storage tiering, compute autoscaling, and workload optimization reducing data platform costs.
Field Notes
Designing modern data platforms for scale and flexibility.
AI
6 min read
Allegedly Einstein stated that the definition of insanity is:
Data
6 min read
Building a data platform on Microsoft Fabric should be straightforward. So why does it still take months? Because the hard part was never the technology.
Cloud
4 min read
AWS re:Invent 2024 kicked off with a bang, marking a significant moment in the company’s history. This year’s event was the first under the leadership of AWS’s new CEO, Matt Garman, who brought his...
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