Accelerated Data Migration
A Databricks-powered lakehouse is the foundation of a modernized data ecosystem
We specialize in migrating your data, regardless of source, to a Databricks powered lakehouse.
Open, direct access to data stored in standard data formats
Indexing protocols optimized for machine learning and data science.
Low query latency and high reliability for BI and advanced analytics.
Contact us to get started now.
The Blueprint Way
Blueprint’s data migration approach is driven by our deep expertise in transforming organizations to data + AI companies. We combine this expertise with a expansive set of migration accelerators. Regardless of the source, we specialize in migrating your data to Databricks.
Recognized by industry leaders
Migration at a glance
Features
- Automate the discovery phase with analysis tools for size and complexity of the environment.
- Accelerate the process with automated schema & code conversions and QA
- Don’t just lift and shift, modernize to optimize performance and costs of the Lakehouse
- Ensure legacy systems are fully decommissioned
- Keep the business and user needs at the center of the process
Benefits
Convert up to 80% via accelerators
Get full documentation of conversions and new architecture
Maintain 100% optimization post-migration with our Lakehouse Optimizer
Confidence in Day 2 operations with full security and governance practices
Receive a customized roadmap for new use cases that migration unlocks
Powered by accelerators
Our pre-built accelerators enable you to migrate with speed, consistency, and quality.
Assessment Engine:
Analyze source system metadata and code to accurately plan and forecast migration projects.
Conversion Automation:
Batch refactor code from/to various data platforms — 80% or more of legacy code can by automated.
QA/QC Engine:
See data outcomes in relation to processing jobs to ensure consistent results.
Lakehouse Optimizer:
Get real-time visibility to costs and performance of Databricks to ensure maximized ROI.
Unity Catalog Migration Accelerator:
Expedite migration with reduced manual intervention, fewer errors, and a streamlined process, limiting interference with ongoing operations.
Databricks reference architecture
How to Engage
Ready to kick off a data migration project but unsure where to begin?
We offer several ways to begin your journey. We highly suggest one of these initial steps, but we’ll always recommend what’s best after our initial conversation.
Migration Assessment
A two-day process to run the analysis tools and conduct the workshop.
- Run analyzer for legacy system
- Project definition workshop
- Outcomes (roadmap and draft SOW, consumption forecast, and objections and concerns addressed)
Use Case Modernization
- Prove value of full migration by delivering a single use case all the way to production
- Uncover any unexpected barriers or concerns before full migration
- Project full TCO with higher confidence
- Establish footprint for Databricks to continue growing within customer environment
QuickStart (Accelerated POC)
- Introduce the data team to the Lakehouse
- Prepare the Databricks environment with scripted infrastructure-as-code
- Complete two full data pipelines
- Analyze with SQL analytics and BI tools
- Plan next steps with a roadmap to success
Course of Action Assessment
Provides expert guidance with intimate business knowledge that:
- Pinpoints root causes of infrastructure issue, bottlenecks, and overspending
- Uncovers opportunities through data-driven decisions
- Evaluates processes to identify opportunities to reduce complexity and maximize efficiency
- Identified actionable, quick wins to implement immediately
Your platform on your cloud of choice
