Enterprise Data Lakehouse Architecture &
Engineering Solutions
Unify data lake elasticity with data warehouse ACID reliability. Engineer open-format lakehouses on Delta Lake and Apache Iceberg to power real-time BI analytics and enterprise AI models.
Unlock Your Data's Full Potential with Unified Lakehouse Architecture
Eliminate expensive data duplication between isolated data lakes and warehouses. Our data architects build open, unified lakehouses that store structured, semi-structured, and unstructured data on low-cost cloud storage with ACID reliability.
Talk to Lakehouse Architects →POWERED BY OPEN LAKEHOUSE STANDARDS & PLATFORMS
Deliver Enterprise Value with Data Lakehouse Architecture
Combine open format storage with enterprise-grade data management, ACID transactions, and sub-second analytical queries.
Ensure complete data integrity and prevent corrupt reads across concurrent batch and streaming pipelines.
Serve SQL business intelligence and machine learning training workloads directly from a single storage tier.
Scale storage independently on low-cost cloud object stores while dynamically spinning up compute nodes.
Enforce strict schema validation on write to guarantee high data quality while supporting schema evolution.
Stream Kafka and IoT events directly into Delta/Iceberg tables with sub-second analytical availability.
Unified access control policies, data lineage tracking, and audit logging via Unity Catalog or Apache Ranger.
Eliminate redundant ETL syncs between raw data lakes and analytical warehouses.
Query historical snapshots of data for point-in-time audits, rollbacks, and reproducibility.
Data Lakehouse vs Data Warehouse: Choosing the Right Architecture
Understand how modern Data Lakehouses supersede legacy two-tier lake and warehouse setups.
- Low-cost cloud object storage
- Handles unstructured & raw data
- No ACID transaction guarantees
- Slow SQL query performance for BI
- Fast SQL query response times
- Strong ACID reliability
- Proprietary closed storage formats
- Expensive to scale for unstructured AI
- Open Parquet/ORC storage (Delta / Iceberg)
- ACID transactions & schema enforcement
- High-speed BI SQL + direct AI/ML training
- Decoupled compute for 50% lower TCO
Building Open, High-Throughput Lakehouse Foundations
Our engineering teams migrate legacy architectures to Delta Lake and Apache Iceberg to deliver sub-second analytics and seamless AI model training.
The Path to Lakehouse Architecture: 8 Stages
A disciplined engineering process for transitioning enterprise data to unified lakehouse storage.
Audit current data lakes, warehouses, and query dependencies.
Design Delta Lake / Iceberg schemas and compute engine pairings.
Build scalable batch and real-time streaming pipelines into Bronze layer.
Implement Medallion architecture (Silver/Gold) for refined analytics data.
Enforce data quality, schema evolution, and fine-grained access controls.
Implement Z-Ordering, data compaction, and query caching mechanisms.
Connect BI tools (Tableau, PowerBI) and AI/ML model training environments.
Full production migration, legacy system sunsetting, and FinOps tuning.
50% Lower TCO with a Unified Data Lakehouse Platform
Eliminate redundant storage infrastructure and expensive database licensing fees.
Common Questions About Data Lakehouses
Get clarity on transitioning from traditional data warehouses or data lakes.
