Case Study
30% performance improvement by converting Netezza and Informatica to Azure-Databricks stack
140 Informatica ETL scripts transformed using automation and operationalized in 16 weeks
Business needs
An American retail company wanted to migrate their legacy data warehouse from Netezza to a cloud-native centralized architecture to improve performance, reduce maintenance cost and architectural complexity, and ensure business continuity.
They wanted to:
Transformed 140 Informatica ETL scripts to Databricks-native PySpark code
Solution
The Impetus team used LeapLogic for end-to-end automated workload assessment to strategize the migration plan of Netezza schema and data, Informatica ETL workflows, and BI reports.

End-to-end lineage
The solution used Azure Data Factory (ADF) pipelines for the one-time migration of 27 TB compressed historical data and ~100 TB of uncompressed data from Netezza to Azure Synapse. The incremental migration of 10GB data per day was performed using Databricks ADF pipelines. The team also transformed 140 Informatica ETL scripts with medium-high complexity to Databricks-native PySpark code and 20 SAP BO reports and 16 Tableau reports to Power BI reports.
27 TB compressed data and ~100 TB of uncompressed data migration from Netezza to Azure Synapse

Informatica to Databricks transformation
A high-level functional component architecture of the implemented solution is given below:

Highlights
The team also provided end-to-end production transition assistance, enabled operationalization on the Azure Synapse platform, and recommended areas for optimization on the target data warehouse.
25% cost reduction by sunsetting Netezza
Impact
LeapLogic helped the client sunset Netezza and realize the following benefits: