Data & AI on Databricks Lakehouse
Unified lakehouse architecture, Delta Lake acceleration, Unity Catalog governance, and enterprise generative AI.
Architected for Scale, Resiliency & Measurable ROI
Inmogic designs, modernizes, and manages enterprise lakehouse platforms on Databricks. We unify disparate batch and streaming data, implement zero-trust data governance with Unity Catalog, and deploy production-grade Generative AI agents directly on your verified enterprise data assets.
Strategic Advantages & Impact
- Delta Lake & Apache Spark end-to-end data pipeline optimization
- Unity Catalog centralized data, AI asset & ML model governance
- Enterprise Generative AI, RAG architectures & domain-specific LLM agents
- Real-time streaming analytics and Lakehouse business intelligence acceleration
- Automated MLOps, model registries, feature stores, and continuous model monitoring
"Inmogic transitioned our fragmented reporting pipelines into a unified Databricks Lakehouse. Our daily query performance jumped 4x and our data engineering backlog dropped by 65%."
Enterprise Bottlenecks We Eliminate
Siloed data lakes and legacy data warehouses create duplicated costs and slow ETL delays.
Migrate to a single unified Databricks Lakehouse combining structured warehouse speed with unstructured data lake flexibility.
Strict compliance and lack of fine-grained access control impede Generative AI adoption.
Deploy Unity Catalog to enforce granular row/column security, automated data lineage, and audit trails across all AI workflows.
Predictable 4-Stage Execution Framework
From whiteboard architecture to production deployment and 24/7 SLA governance.
Data Audit & Lakehouse Discovery
Assess legacy schemas, ETL workloads, compliance rules, and query cost bottlenecks.
Medallion Architecture Design
Blueprint Bronze (raw), Silver (cleansed), and Gold (business aggregates) lakehouse layers.
Pipeline Migration & Optimization
Convert pipelines to Delta Lake with Photon engine optimization and automated caching.
GenAI & BI Serving Launch
Deploy Mosaic AI agents, connect BI tools (PowerBI/Tableau), and enforce Unity Catalog policies.
Frequently Asked Questions
How does Inmogic migrate existing data warehouses to Databricks?
We follow a structured 4-phase framework: discovery and workload profiling, parallel medallion architecture provisioning, automated ETL conversion to Delta Live Tables, and rigorous side-by-side validation before cutover.
Can Databricks connect with our existing Oracle, SAP, or Salesforce data?
Yes. Inmogic builds bi-directional automated ingest pipelines connecting Oracle ERP, SAP S/4HANA, Salesforce, and operational databases directly into Databricks using native connectors and Lakeflow.
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