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Data Platform · Sub-service
Warehouses & Lakehouses
Modern warehouse/lakehouse architectures for analytics, ML features, and AI corpora.
Summary
Modern warehouse/lakehouse architectures for analytics, ML features, and AI corpora.
Problem
What teams are stuck with
Data lakes become swamps; warehouses become expensive without modeling discipline.
Teams duplicate the same entities in five marts.
Offerings
What we deliver
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01
Warehouse/lakehouse blueprints
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02
Dimensional and entity modeling
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03
Cost and performance tuning
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04
Access control patterns
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05
Migration from legacy stores
Approach
How we work it
Layer bronze/silver/gold (or equivalent) with clear ownership.
Model shared dimensions once; serve marts and AI extracts from them.
Right-size compute and storage for cost visibility.
Outcomes
What good looks like
- One semantic core for BI and AI
- Controlled cloud spend
- Faster self-serve analytics
Related
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