In an era where data is the fuel and AI is the engine, the challenge isn’t just collecting data — it’s transforming it into business-ready intelligence fast, securely, and at scale.

That’s exactly what happens when Lucid Data Hub joins forces with Databricks.

Together, they unlock agentic Gen AI automation running natively on enterprise-grade Databricks Spark infrastructure — accelerating every step of your data journey from ingestion to insight.

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What is Lucid Data Hub?

Lucid is a Generative AI Agentic Data Lakehouse Platform that helps enterprises automate their most complex data engineering workflows. From profiling and cleansing to modeling and KPI generation, Lucid uses domain-specific intelligence to deliver analytics-ready datasets — without relying on large development teams.

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Why the Databricks Integration Matters

Databricks provides the computational muscle — Lucid provides the Industry Domain Specific AI & Data Engineering brain.

Here’s how this tight integration delivers serious impact:

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Customer-Hosted, Cloud-Native Deployment

Lucid is deployed directly inside customers Azure or AWS Databricks environments, fully respecting customer's data boundaries and compliance needs.

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Security-First by Design

• Lucid Supports both OAuth 2.0 and PAT Tokens for secure API access
• Scoped permissions following the Principle of Least Privilege
• No data ever leaves customers environment
• Leveraging customer's Databricks workspace and spark compute clusters

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AI Agent Execution on Databricks Spark

Lucid’s generative ai agents generates, trigger and orchestrate version-controlled Spark notebooks inside customer's Databricks clusters, transforming raw source data into:

• Standardized Domain Specific Silver Data Models
• Enriched Business Use-case specific Gold Models
• BI-ready Lakehouse datasets

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Full Observability

Every job, transformation, and enrichment is tracked, versioned, and auditable, so customer team stays in control.

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Reference Architecture

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Lucid Product Deployment Strategy (Customer Hosted)

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This diagram illustrates how Lucid is deployed within the customer's Azure Cloud, ensuring full control, governance, and compliance:

• Lucid APIs, Management Portal, Metadata Store, and LLM Models are deployed inside the customer’s managed Azure environment.
• Authentication and access are handled via Azure Entra ID, OAuth 2.0, and PAT Tokens.
• All compute workloads run on the customer’s Databricks clusters using Lucid’s Spark Library.
• Data and logic never leave the cloud and Databricks environment.

Deployment automation is powered by Azure DevOps pipelines, aligning with enterprise DevSecOps practices.

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‍Generative Datalake in Databricks Reference Architecture

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This architecture illustrates the data flow and execution lifecycle inside the Databricks environment:

• Data Sources: Ingested from on-prem or cloud systems into Databricks
• Lucid Spark Library: Executes AI-orchestrated logic within Databricks
• Data Pipelines: Transform raw data into canonical and enriched models
• Silver Models: Standardized, schema-aligned outputs
• Gold Models: Enriched outputs ready for analytics and reporting
• BI-Ready Output: Final data copied into SQL DW or reporting layer

All transformations are driven by Lucid-generated Spark Notebooks, version-controlled and triggered via Databricks REST APIs.

Here’s how it flows:

1. Raw data ingestion from cloud/on-prem sources into Azure Storage
2. Lucid Profiles the raw data to understand the meaning of the data to generate recommended industry specif entities, data models, use-cases
3. Lucid generates and executes AI-curated Spark notebooks via Databricks REST APIs
4. Models are materialized in your lakehouse: Silver → Gold → Lakehouse (Datalake & SQL DW)
5. All AI-driven logic and orchestration happens within your Databricks environment

Key Insight: Lucid doesn't just run on Databricks — it amplifies its capabilities with automation, intelligence, and industry context.

Real-World Impact

• 3x Faster Time to Insight
• 2x Cost Reduction in Engineering Overhead
• 100% Control with Zero Data Leakage
• AI-powered Transformation ETL Code
• Plug-and-play with Existing Databricks Workspaces

From retail customer 360 models to financial forecasting, Lucid empowers enterprise data teams to deliver business-ready outcomes — faster, smarter, and securely.

Who Should Care?

• Chief Data Officers: Faster execution, stronger governance
• Data Architects: Clean integration with Databricks & Azure
• Analytics Teams: BI-ready outputs with less wait time
• Sales Engineers & Partners: A future-proof, AI-native story to tell

Get Started Today

If you’re already a Databricks customer, Lucid can plug directly into your existing environment with minimal setup — and deliver value in days, not months.

Book a demo at www.luciddatahub.com
Or email: VenuAmancha@LucidDataHub.com

Let’s transform data engineering from a bottleneck into a business accelerator — together.