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.
Business Impact
A data platform that scales with your business and supports AI.
Lakehouse
Data lake flexibility with warehouse performance. All workloads on one platform.
Flexible
SQL, Spark, and AI frameworks accessing the same data without duplication.
Optimized
Storage tiering and compute autoscaling. Pay for what you use, not what you provision.
Why Cloud2
Cloud-native data platforms designed for scale, AI, and cost efficiency.
Unified storage with multiple processing engines. Best of data lakes and data warehouses.
Databricks, Snowflake, AWS native, Azure Synapse, BigQuery. We design for your requirements.
Architecture designed for AI workloads from the start. Vector storage, MCP compatibility included.
Data mesh principles with federated governance. Teams own their data products.
Success Stories
Real customers, real results. No hypotheticals.
FAQ
Field Notes
Designing modern data platforms for scale and flexibility.
Data
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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.
AI
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Allegedly Einstein stated that the definition of insanity is:
Cloud
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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...
Explore More
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Make data reliable for better decisions with automated governance that protects privacy, ensures quality, and enables self-service analytics.
A modern, governed, AI-ready data platform with streamlined pipelines, clear roles, and compliance built-in. Faster insights, higher quality, and confident decisions.
Let's discuss how Cloud2's Data Architecture service can help you achieve your goals.
