SAP + Databricks Data Foundation
SAP + Databricks Data Foundation SAP + Databricks Data Foundation SAP + Databricks Data Foundation Make SAP Data Work Like a Modern Data Product with
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.
Set Up a Session Contact TEK AnalyticsBenefits
Protection of Critical Business Processes
Protect critical processes by planning for data and system dependencies.
Reduced Operational Risk
Reduce disruption with fewer reporting issues, outages, and incidents.
Faster Time-to-Value
Accelerate value through structured, repeatable processes with safeguards.
Sustained Confidence
Maintain stakeholder confidence with reliable and accurate data products.
Resilient Foundation
Create a Databricks-native foundation built 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.
Stakeholders lose trust as numbers change unexpectedly. Teams are forced into expensive rework. Instead of accelerating value on Databricks, the migration becomes a source of instability and political friction.
When dependencies aren’t well understood, bad things happen.
Outages
Data Issues
Broken Reports
Firefighting
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
Review 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
Validate and reconcile migrated outputs so they are correct, complete, and trustworthy.
Pattern Based
Convert legacy logic into Databricks-native jobs and Delta Lake patterns.
Cutover Plan
Create clear cutover and rollback strategies so people know exactly what will change and when.
Engagement Model
1. Discovery and Dependency Mapping
We dive in and understand sources, transforms, and consumers.
2. Migration Planning
Define migration waves with agreed success criteria, validation steps, and checkpoints.
3. Execution Phase
Execute iterative waves of build, validate, parallel-run, then cut over and monitor.
4. UAT
Business and downstream owners are involved in UAT. “Working” includes their definition of done.
5. Transition Phase
Transition steady-state ownership to your teams with documentation, patterns, and lessons learned codified.
Why TEK
Integration-Aware Migration
We design migrations around integrations and consumers, not just pipelines and storage.
Databricks Expertise
Our expertise spans data engineering, orchestration, and operational readiness so the migration runs well in production.
Validation and Risk Management
We emphasize validation, phased cutover, and risk management to minimize surprises.
Outcome-Oriented Delivery
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?
Set up a Migration & Integration Readiness Session with TEK. Learn about de-risking your path onto Databricks.
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