Migration & Integration Accelerator
Move to Databricks without breaking everything that depends on you.
TEK’s Migration & Integration Accelerator helps you move from legacy platforms to Databricks through a planned, validated path that protects downstream systems, preserves data trust, and accelerates value on the new platform.
Benefits
Protection of Critical Business Processes
Protect critical business processes by planning for data and system dependencies.
Reduced Operational Risk
Reduce disruption with fewer reporting issues, outages, and operational incidents.
Faster Time-to-Value
Accelerate time-to-value through structured, repeatable processes with safeguards.
Sustained Confidence
Maintain stakeholder confidence with reliable, accurate data products.
Resilient Foundation
Create a Databricks-native, scalable, resilient foundation for long-term performance.
When Migrations Break Down
Most migration efforts focus on lifting and shifting code and data, not on everything that surrounds them. Legacy ETL jobs hide business rules, reports and APIs quietly depend on old schemas, and few teams have a complete view. When dependencies are not well understood, stakeholders lose trust as numbers change unexpectedly, teams are forced into expensive rework, and the migration becomes a source of instability.
The Migration & Integration Accelerator
TEK’s Migration & Integration Accelerator is designed for leaders who want Databricks adoption without collateral damage. Instead of treating migration as a one-time technical cutover, we frame it as a disciplined, integration-aware change to how data flows through your organization.
The result is a migration that protects critical dependencies while moving you decisively onto Databricks.
What We Provide
Structured Assessment
Current pipelines, dependencies, and downstream consumers before anything moves.
Integration Hardening
Harden key reports, APIs, and consuming systems, including contract and schema validation.
Prioritized Migration Waves
Sequence workloads based on risk, business impact, and technical complexity.
Data Validation
Validation and reconciliation to ensure migrated outputs are correct, complete, and trustworthy.
Pattern Based Modernization
Conversion of logic, ETL, SQL, and orchestration into Databricks-native jobs and Delta Lake.
Cutover Plan
Clear plans and rollback strategies so teams know exactly what will change and when.
Engagement Model
Discovery & Dependency Mapping
Understand sources, transforms, and consumers across the data landscape.
Migration Planning
Define migration waves with success criteria, validation steps, and checkpoints.
Execution Phase
Execute iterative waves of build, validate, parallel-run, cut over, and monitor.
UAT
Include business and downstream owners so “working” matches their definition of done.
Transition Phase
Transition ownership with documentation, patterns, and lessons learned codified.
Why TEK
- We design migrations around integrations and consumers, not just pipelines and storage.
- Our Databricks expertise spans data engineering, orchestration, and operational readiness.
- We emphasize validation, phased cutover, and risk management to minimize surprises.
- The accelerator is time-boxed and outcome-oriented, giving you predictable progress instead of open-ended projects.
Planning a Databricks migration?
Worried about what might break? TEK helps you de-risk your path onto Databricks with a structured, validated migration approach.
Move data to Databricks without a lot of drama.
Set up a Migration & Integration Readiness Session with TEK.
Contact TEK Analytics