Modern Data Platform Accelerator
Complete Lakehouse Architecture in 4-6 Weeks
Complete modern data platform foundation with lakehouse architecture, Unity Catalog governance, FinOps cost management, MLOps capabilities, and self-service analytics. Deploy in 4-6 weeks instead of 6-12 months with 40+ comprehensive documentation files.
Architecture & Workflows
Unified Lakehouse architecture combining the best of data warehouses and data lakes into a single, governed platform.
Complete modern data platform foundation with lakehouse architecture, Unity Catalog governance, FinOps cost management, MLOps capabilities, and self-service analytics. Deploy in 4-6 weeks instead of 6-12 months with 40+ comprehensive documentation files.
Solution Highlights
Lakehouse Architecture
Unified data architecture combining data lake and warehouse capabilities. Delta Lake format, medallion architecture (bronze/silver/gold), and ACID transactions.
- ✓ Unified Lake & Warehouse
- ✓ Medallion Architecture (Bronze/Silver/Gold)
- ✓ ACID Transaction Support
Unity Catalog Governance
Complete governance with metastore, catalogs, schemas, RBAC, and data lineage. Centralized access control and compliance framework.
- ✓ Centralized Access Control
- ✓ Automated Data Lineage
- ✓ Compliance Frameworks
FinOps Cost Management
100% cost attribution by user, job, catalog, schema, and table. Budget alerts, cost optimization recommendations, and real-time tracking.
- ✓ Unit Cost Tracking
- ✓ Real-time Budget Alerts
- ✓ Optimization Recommendations
MLOps Foundation
MLflow tracking server, model registry, experiment tracking, and deployment pipelines. Feature store integration and model monitoring.
- ✓ MLflow Model Registry
- ✓ Experiment Tracking
- ✓ Feature Store Integration
Self-Service Analytics
Databricks SQL warehouses, dashboards, and BI tool integration. Enable business users with self-service data access and visualization.
- ✓ Databricks SQL Warehouses
- ✓ BI Tool Integration
- ✓ Self-Service Access
Data Engineering
Delta Live Tables for ETL/ELT pipelines, Auto Loader for streaming, and workflow orchestration. Automated data quality checks.
- ✓ Delta Live Tables (DLT)
- ✓ Auto Loader Streaming
- ✓ Workflow Orchestration
Security & Compliance
SOC 2, GDPR, HIPAA compliance frameworks. PII detection, audit logging, encryption at rest and in transit, and secrets management.
- ✓ SOC 2/GDPR/HIPAA Ready
- ✓ Encryption at Rest/Transit
- ✓ Automated PII Detection
Multi-Cloud Support
Deployable on AWS, Azure, or GCP. Cloud-agnostic architecture with infrastructure as code for easy migration and replication.
- ✓ AWS / Azure / GCP Support
- ✓ Cloud-Agnostic Design
- ✓ Easy Migration Path
Technical Specifications
Architecture & Scale
- Architecture: Lakehouse with medallion pattern
- Storage Format: Delta Lake with ACID transactions
- Compute: Serverless + Job clusters
- Scale: Petabyte-scale data processing
Governance & Security
- Governance: Unity Catalog with fine-grained RBAC
- Access Control: 5-tier role model
- Compliance: SOC 2, GDPR, HIPAA, PCI-DSS
- Audit: Complete audit trails and lineage
Cost & Performance
- Cost Attribution: 100% by user/job/catalog/schema/table
- Optimization: Automated cost recommendations
- Performance: Photon engine for 3x speedup
- Monitoring: Real-time cost and performance tracking
Data & Analytics
- Data Pipeline: Delta Live Tables with DLT
- Streaming: Structured Streaming + Auto Loader
- SQL Analytics: Databricks SQL warehouses
- BI Integration: Tableau, Power BI, Looker
What's Included
Implementation
Complete Platform Implementation
- Databricks workspace configuration
- Unity Catalog setup (metastore, catalogs, schemas)
- FinOps cost monitoring dashboards
- MLflow tracking server and model registry
- Delta Live Tables pipelines
- Databricks SQL warehouses
- RBAC and access control
- Terraform infrastructure as code
Documentation
Comprehensive Documentation (40+ documents)
- Executive Summary and business case
- Architecture Design with diagrams
- Unity Catalog Implementation Guide
- FinOps Cost Monitoring Guide
- MLOps Foundation Guide
- Self-Service Analytics Guide
- Operations Guide with runbooks
- Security & Compliance framework
Training
Training & Enablement
- Platform overview training
- Data engineering training
- MLOps best practices training
- Self-service analytics training
- FinOps cost management training
- Security and compliance training
Support
Support & Maintenance
- Initial deployment support (4-6 weeks)
- Knowledge transfer sessions
- Architecture review sessions
- 60-day post-deployment support
- Optional ongoing platform management
- Quarterly health checks
Use Cases
Data Platform Modernization
Modernize from legacy data warehouse to lakehouse. Reduce costs by 40-50% while enabling advanced analytics and ML capabilities.
AI/ML Foundation
Build AI-ready data foundation with MLOps. Enable data scientists with feature store, model registry, and deployment pipelines.
Self-Service Analytics
Empower business users with self-service data access. Databricks SQL, dashboards, and BI tool integration for faster insights.
Cost Optimization
Optimize cloud data platform costs with FinOps. 100% cost attribution, budget management, and optimization recommendations.
Get Started with Modern Data Platform
See how Modern Data Platform can transform your data infrastructure. Or contact us directly: office@dhristhi.com
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