Unlocking Data Magic: Teradata to Databricks Migration with LTM Alcazar

Client profile

A British multinational professional services partnership provides consulting, assurance, tax, and transaction services.

Business challenges

• Converting stored procedures and views from Teradata to Databricks required manual intervention. It involved a significant effort to identify Databricks equivalent syntax and functions.
• Syntax issues, including special characters and extra spaces in column names, posed challenges requiring manual resolution during code conversion.
• Concurrency update issues surfaced, requiring the implementation of table partitioning on specific columns for resolution.

LTM solution

• LTM introduced Alcazar into the client's environment to streamline and automate the conversion process.
• Established DevOps pipelines in collaboration with the client's DevOps team, facilitating smoother migration of objects in batches to higher environments.
• Post-schema migration, data testing, and validation were conducted, leveraging Alcazar for efficient row count validation.
• The Alcazar tool significantly reduced manual efforts required for migrating Teradata objects, ensuring a seamless transition with minimal disruption.
• Implemented continuous monitoring and optimization strategies after migration. These strategies fine-tuned performance and addressed unforeseen challenges, ensuring long-term reliability and efficiency of the Databricks environment.

Business benefits

• Migrated 637 objects in five batches, ensuring a smooth transition with minimal downtime.
• Achieved an impressive 70-80% automation rate throughout migration, optimizing efficiency and reducing manual labor.
• Realized approximately 60% cost savings by leveraging Alcazar for conversion, streamlining the process, and minimizing associated human effort and costs.