Data Lakehouse Services

Bronze, silver, gold done right. We design and build enterprise data lakehouses on Microsoft Fabric, Databricks and Oracle Autonomous AI Lakehouse so every team works from one governed source of truth.

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Lakehouse Architecture

Medallion layer design (bronze/silver/gold), storage layout, partitioning and naming standards built to scale.

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Data Engineering Pipelines

Batch and streaming ingestion from ERPs, CRMs, APIs, IoT devices and files, with automated quality checks.

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Migration & Modernization

Moving from on-premise warehouses, Hadoop, SSIS or Informatica to a cloud lakehouse with minimal downtime.

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Governance & Security

Catalogs, lineage, access policies, data masking and audit trails that satisfy compliance teams.

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Real-Time Analytics

Streaming data from transactions, sensors and apps into live dashboards and alerts.

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AI & ML Readiness

Feature stores, vector search and clean training data so AI projects start on trusted foundations.

Fabric, Databricks & Oracle

Each platform has a sweet spot. We help you choose based on your existing systems, cloud, team skills and budget — and design multi-platform architectures when you run more than one.

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Microsoft Fabric

Best for Microsoft & Power BI shops. OneLake, Lakehouse & Warehouse design with Delta tables, Data Factory pipelines and Direct Lake mode for high-speed Power BI.

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Databricks

Best for heavy data engineering & ML. Delta Lake, Unity Catalog for governance, Lakeflow pipelines, Databricks SQL, MLflow and Mosaic AI.

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Oracle Autonomous AI Lakehouse

Best for Oracle database & ERP estates. Apache Iceberg tables, Select AI natural-language queries, AI Vector Search — on OCI, AWS, Azure or Google Cloud.

A Phased Delivery Process

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Assessment
Audit current data sources, warehouses, pipelines and costs; identify the highest-value use cases.
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Platform Selection
Recommend Fabric, Databricks or Oracle based on fit, then design architecture, security and cost plan.
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Pilot
One real use case goes live end to end — ingestion to dashboard — to prove the platform on your own data.
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Scale & Operate
Remaining sources migrate in planned waves, followed by monitoring, cost tuning and team training.
Discuss Your Lakehouse Project