Why Lakehouse First?
Eliminate spreadsheet chaos and create a stable base for dashboards & ML. A governed lakehouse ensures every team works from the same source of truth.
What's Included
Ingestion
- CSV/S3/DB/SaaS connectors
- Batch & stream-ready
- Auto-schema detection
- Incremental loads
Contracts & DQ
- Schema validation checks
- Nulls/uniques/freshness tests
- Data quality SLA tracking
- Automated alerting
Catalog & Lineage
- Searchable data glossary
- Upstream/downstream maps
- Business context & owners
- Column-level lineage
RBAC & PII
- Field-level access controls
- PII masking & tagging
- Audit logs for all actions
- Role-based permissions
Backups & Cost Controls
- Storage lifecycle policies
- Tiering strategy (hot/cold)
- Cost per TB trending
- Automated retention
Medallion Architecture
Bronze (Raw)
Unprocessed data as-is from sources
Silver (Clean)
Validated, deduplicated, standardized
Gold (Curated)
Business-ready, aggregated, optimized
How We Implement (Phased)
Connect High-Value Sources
Identify and connect 2–3 critical data sources to establish foundation.
Deliverable: 2-3 sources connected
Outcomes & Metrics
< 2 weeks
Time to first governed source
95%+
Tables with DQ tests
99.9%
Freshness SLA adherence
↓ 20%
Cost/TB improvement
FAQ
Q: Do you require a specific cloud?
A: We're vendor-neutral; we'll meet you where you are (AWS, Azure, GCP).
Q: Can we start small?
A: Yes; begin with 2–3 sources, expand after DQ is stable.
Q: How is access controlled?
A: Role/field level permissions with all actions logged in audit trails.
Ready to build your lakehouse?
Talk to our data architects about implementing a governed lakehouse for your organization.