Production-Ready Databricks Lakehouse in Just 30 Days
Migrate from your legacy data warehouse to a modern, AI-ready Databricks Lakehouse platform with our proven implementation framework.
Trusted by data engineering teams at leading companies
What You Get in 30 Days
A complete, production-ready Databricks Lakehouse implementation with everything you need to start driving value immediately.
Governance & Security
Unity Catalog implementation with proper access controls, data lineage, and audit capabilities from day one.
- Role-based access control
- Data lineage tracking
- Audit logging & compliance
Scalable Infrastructure
Cloud-optimized infrastructure setup with automated scaling and cost management controls.
- Auto-scaling clusters
- Cost optimization controls
- Multi-environment setup
AI Readiness
Integration with MLflow for experiment tracking and model management to accelerate AI initiatives.
- MLflow integration
- Feature store setup
- Optional GenAI PoC
Data Pipelines
Automated data ingestion and transformation pipelines using Delta Live Tables and Auto Loader.
- Delta Live Tables
- Auto Loader configuration
- Data quality checks
Migration Framework
Proven migration tools and methodologies to smoothly transition from legacy data warehouses.
- Schema migration
- Query translation
- Parallel run validation
Knowledge Transfer
Comprehensive documentation and optional training sessions for your team to operate confidently.
- Technical documentation
- Optional training sessions
- Best practices guidance
Our 4-Week Implementation Plan
A structured approach to deliver your Databricks Lakehouse in just 30 days.
Assessment & Architecture
We'll assess your current environment and design the architecture for your new Lakehouse platform.
- Current state assessment
- Architecture design
- Migration planning
Infrastructure & Governance
We'll set up the infrastructure and implement Unity Catalog for governance.
- Workspace configuration
- Unity Catalog setup
- Security implementation
Data Migration & Pipelines
We'll migrate your data and implement automated pipelines using DLT and Auto Loader.
- Initial data migration
- Pipeline implementation
- Data quality validation
Testing & Handover
We'll thoroughly test the platform, finalize documentation, and complete knowledge transfer.
- Performance testing
- Documentation finalization
- Knowledge transfer sessions
Why Move to a Databricks Lakehouse?
Break free from the limitations of traditional data warehouses and unlock new possibilities.
Reduced Total Cost of Ownership
Eliminate separate systems for data warehousing, data science, and machine learning to reduce infrastructure costs by up to 40%.
Superior Performance
Achieve up to 12x better price/performance compared to traditional cloud data warehouses with advanced optimization techniques.
AI-Ready Platform
Seamlessly integrate machine learning and AI workloads with your data platform to accelerate innovation and time-to-insight.
Unified Governance
Implement consistent security, governance, and compliance across all data and AI assets with Unity Catalog.
Databricks Lakehouse Architecture
A modern, open architecture that combines the best of data lakes and data warehouses.
Data Ingestion
Ingest data from any source with Auto Loader for continuous, incremental loading and built-in schema evolution.
Data Processing
Transform data with Delta Live Tables for reliable, maintainable pipelines with built-in quality controls.
Unity Catalog
Unified governance layer providing fine-grained access control, auditing, and lineage across all data assets.
Machine Learning
Build and deploy ML models with MLflow for experiment tracking, model registry, and deployment management.
Analytics
Run SQL queries, dashboards, and visualizations directly on your data lake with Databricks SQL.
GenAI Ready
Foundation for implementing generative AI applications with support for vector stores and LLM integration.
Client Results
See what our clients have achieved with our Databricks Lakehouse implementation
"Transatlantix delivered our Databricks Lakehouse in just 4 weeks. We've seen a 60% reduction in data processing time and cut our cloud costs by 35%."
"Our migration from Snowflake to Databricks was seamless. We're now processing 3x more data with better performance and have launched our first ML models."
"The unified governance with Unity Catalog has dramatically improved our compliance posture. Our team is now much more productive with the new platform."
Ready to Transform Your Data Platform in 30 Days?
Book your free 30-minute consultation to discuss how we can implement a Databricks Lakehouse for your organization.