Data Lakehouse Architecture for Unified Analytics

Design and implementation of a data lakehouse architecture that combines the reliability of data warehouses with the flexibility of data lakes — providing a single platform for BI, reporting, and advanced analytics.

PRACTICE

Applied AI & Data Analytics

CLIENT PROFILE

Federal agency consolidating disparate data warehouses and data lakes into a unified analytics platform that supports both structured reporting and unstructured AI/ML workloads

Challenge

Data siloed across multiple warehouses, lakes, and departmental databases
Duplicate and inconsistent data across systems undermining trust in analytics
Separate platforms required for BI/reporting and data science workloads

Approach

Design lakehouse architecture with schema enforcement, ACID transactions, and open table formats
Implement medallion architecture (bronze/silver/gold) for progressive data refinement
Build automated ingestion pipelines with data quality validation and lineage tracking
Enable self-service analytics with governed access to curated gold-layer datasets

Typical Outcomes

Single platform supporting BI dashboards, ad-hoc queries, and ML workloads
Improved data quality and trust through automated validation and lineage
Reduced total cost of ownership by eliminating redundant data platforms

Procurement Paths

NASA SEWP V for data platform infrastructure
GSA MAS for data architecture and engineering services
CIO-CS (NITAAC) for enterprise data solutions

Partner Technology Examples

Elastic
AWS GovCloud
Microsoft Azure
Dell Technologies

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