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What You'll Learn
Enterprises today generate massive volumes of data across legacy systems, SaaS applications, streaming sources, and cloud services. The challenge is no longer capturing data, it’s architecting platforms that make data trusted, governed, unified, and ready for analytics and AI at scale.
LumenData solves this challenge by designing and implementing modern data architectures built on the Databricks Data Intelligence Platform, transforming fragmented environments into high-performance, future-ready ecosystems.
Architectural Pillars of Modern Data Management with LumenData + Databricks
LumenData delivers a holistic architecture framework supported by Databricks’ lakehouse foundation, enabling organizations to modernize data operations, reduce technical debt, and accelerate AI adoption.
1. Data Strategy & Reference Architecture: Designing the Enterprise Blueprint
A scalable data ecosystem requires a strong architectural foundation. LumenData builds target-state architectures anchored on Databricks.
Key Deliverables
- Enterprise data strategy and reference architecture
- Lakehouse platform blueprints (storage, compute, governance, orchestration)
- Logical/physical data models for Delta Lake
- Architecture for streaming, BI, ML, and operational workloads
- Platform adoption roadmap: ingestion → governance → AI
- Cloud-native design patterns for AWS, Azure, and GCP
Architectural Outcomes
- A unified data strategy tied to business SLAs
- Standardized patterns for ingestion, ETL/ELT, and metadata
- Repeatable frameworks for scaling the Databricks platform
2. Data Integration Architecture: Building Scalable Ingestion and Processing Pipelines
LumenData engineer pipelines using Databricks as the execution and transformation layer, unifying ingestion from legacy systems, SaaS apps, APIs, and streaming sources.
Integration Capabilities
- ELT pipelines using Databricks Workflows, Delta Live Tables (DLT), and optimized autoscaling clusters
- Real-time ingestion with Structured Streaming, Auto Loader, and Delta Lake change data capture (CDC)
- API ingestion frameworks (REST, SOAP, GraphQL)
- Microservices integration patterns using Databricks + native cloud services
- High-throughput ingestion from ERP, CRM, MDM, and custom systems
- Orchestration with Databricks Workflows or integration with Airflow, ADF, Step Functions, etc.
Architecture Outcomes
- A unified ingestion layer for batch and real-time data
- Scalable, resilient, fault-tolerant pipelines built on Delta Lake
- Lower operational overhead through DLT automation and orchestration
Also read about: How to Migrate from Cloudera to Databricks with dbt
3. Data Quality Architecture: Automated Controls and Continuous Validation
LumenData implements data quality frameworks directly within Databricks pipelines.
Quality Components
- Rule-based quality checks using DLT Expectations
- Profiling and anomaly detection using PySpark & Delta
- Deduplication, survivorship, and standardization frameworks
- Automated alerts & pipeline stoppage for data contract violations
- Reference data and enrichment services
- Quality dashboards integrated with Databricks SQL and Unity Catalog
Architecture Outcomes
- Continuous, automated data reliability monitoring
- Certified datasets enforceable through Unity Catalog governance layers
- Operational-grade quality suitable for analytics and ML workloads
4. Data Governance Architecture: Centralized Security, Lineage, and Oversight
LumenData designs governance programs leveraging Unity Catalog as the control plane.
Governance Architecture Elements
- Central identity and access control with UC
- Storage and table-level security through Delta Lake
- End-to-end lineage for tables, notebooks, jobs, and dashboards
- Enterprise glossary and metadata management
- PII classification and sensitive data tagging
- Governance workflows integrated with MDM systems
Compliance Enablement
- GDPR, CCPA, HIPAA, FedRAMP, CJIS, and industry audit controls
- Fine-grained access policies, data masking, and row/column security
Architecture Outcomes
- A unified governance model across data, analytics, and AI
- Consistent operational controls across clouds, teams, and workloads
- Simplified audit and security posture for regulated industries
Also read about: Customer 360: A Practical Point of View with the LumenData Insights
5. Data Persistence & Platform Modernization: Lakehouse, MDM, and Cloud Migration
LumenData builds scalable persistence layers anchored on Delta Lake’s ACID-compliant, high-performance storage.
Platform Architecture Components
- Multi-layer Delta Lake zones (Bronze, Silver, Gold)
- Lakehouse design patterns for BI and ML
- Cloud migration of legacy DWs (Teradata, Oracle, SQL Server, Netezza, Hadoop)
- High-performance query serving with Databricks SQL
- Integrated MDM environments (Informatica MDM, Reltio, Semarchy, etc.)
- Future-proof storage for structured, semi-structured, and unstructured data
Architecture Outcomes
- A single platform for ingestion, storage, ETL, BI, and ML
- Near real-time access to curated business-ready datasets
- Decommissioning of high-cost legacy analytics platforms
Also read about: Turning Data Quality into Advantage: A LumenData Point of View
6. Advanced Analytics, ML, and AI Architecture: Operationalizing Intelligence
With a governed, high-quality lakehouse in place, LumenData helps organizations operationalize ML and AI workloads.
AI/ML Architecture Components
- ML pipelines using Databricks MLflow for tracking, versioning, and model lifecycle
- Feature stores for feature sharing across teams and models
- Real-time and batch inference pipelines
- Lakehouse-native GenAI architectures using Databricks Mosaic AI
- RAG pipelines, vector search, and AI agent integrations
- Automation frameworks for MLOps and continuous delivery
Architecture Outcomes
- Consistent, reproducible ML pipelines from development to production
- AI models running at scale with enterprise governance
- Accelerated delivery of predictive and generative AI use cases
Also read about: Data Engineering as a Strategic Asset: A LumenData Point of View
Why LumenData for Databricks Modernization?
Organizations rely on LumenData because of its deep architectural and engineering expertise combined with proven experience modernizing complex enterprise environments.
Technical Advantages
- End-to-end expertise across the Databricks ecosystem (DLT, SQL, UC, MLflow, Mosaic AI)
- Enterprise-grade architecture patterns for data, governance, and ML
- Accelerators for ingestion, data quality, data modeling, and governance
- Experience migrating and modernizing large legacy platforms
- Strong partnerships across cloud ecosystems & MDM vendors
Business Impact
- Modernized, simplified data ecosystems
- Lower operational cost and reduced technical debt
- Faster analytics and AI development
- Stronger security, governance, and compliance
- Accelerated value creation across the data lifecycle
Conclusion
Modern data architecture requires unification of systems, pipelines, storage, governance, and AI workloads. Databricks provides the platform; LumenData provides the strategy, engineering, and operational frameworks to make it scalable, secure, and business-ready.
Together, LumenData and Databricks transform fragmented data estates into intelligent, governed, high-performance platforms capable of powering the next generation of analytics and AI.
About LumenData
LumenData is a leading provider of Enterprise Data Management, Cloud and Analytics solutions and helps businesses handle data silos, discover their potential, and prepare for end-to-end digital transformation. Founded in 2008, the company is headquartered in Santa Clara, California, with locations in India.
With 150+ Technical and Functional Consultants, LumenData forms strong client partnerships to drive high-quality outcomes. Their work across multiple industries and with prestigious clients like Versant Health, Boston Consulting Group, FDA, Department of Labor, Kroger, Nissan, Autodesk, Bayer, Bausch & Lomb, Citibank, Credit Suisse, Cummins, Gilead, HP, Nintendo, PC Connection, Starbucks, University of Colorado, Weight Watchers, KAO, HealthEdge, Amylyx, Brinks, Clara Analytics, and Royal Caribbean Group, speaks to their capabilities.
For media inquiries, please contact: marketing@lumendata.com.
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