Migrate to Databricks

Modernize your data platform by moving to the Databricks Lakehouse

According to the Third Party Transaction Processing Performance Council, migrating your current workloads from any major cloud provider or multi-cloud environment to Databricks can save you up to 10 times in storage costs itself.

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Why migrate to Databricks?

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Migrate with confidence

The 5 phases of successful Data Migration

Phase 1 : Discovery

Use profilers to automate discovery. Get insights on legacy platform workloads and estimate Databricks platform consumption costs.

Phase 2 : Assessment

Use analyzers for a detailed assessment of code complexity and to estimate migration project costs.

Phase 3: Strategy

Finalize technology mapping and build optimal pathways for each source platform migration, with expert guidance from Databricks.

Phase 4: Production Pilot

Run a pilot with your use cases and use code converters where applicable to transpile legacy code to Databricks-compatible code. Develop a migration implementation plan and road map.

Phase 5: Execution

Rinse and repeat for all workloads. Get help with migration execution and support from certified partners or Databricks Professional Services.

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Guide Data and AI Governance

This free guide for Data and AI Governance. It provides insights into the unique value Data and AI governance

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