Service
Legacy-to-Cloud Migration
Move SAS, Ab Initio, DataStage, Netezza and other legacy platforms to Databricks, PySpark and the cloud.
The challenge
Legacy analytics and ETL platforms carry high licence costs, shrinking skills and slow change. Migrating them feels risky because years of business logic sit in code that nobody has fully documented.
Typical starting points
Where we take you
What we deliver
Inventory and dependency analysis
Catalogue every job, program and data flow, score its complexity and map dependencies before any code is touched.
Target architecture
Lakehouse or warehouse design on Databricks, Azure, AWS or Snowflake, sized for your volumes and governance needs.
Code conversion
Convert SAS, DataStage and Ab Initio logic to PySpark, Spark SQL or SQL, using automation where it is safe and expert review where it is not.
Orchestration on Airflow or ADF
Re-create schedules, dependencies and restarts on Apache Airflow or Azure Data Factory, so jobs run reliably after cutover.
Reconciliation and parallel runs
Automated data comparison between old and new platforms, so correctness is proven rather than assumed.
Cutover and hypercare
Phased cutover with rollback plans, followed by support while your teams settle on the new platform.
From our experience
Led the migration of 450+ legacy ETL jobs from IBM DataStage to PySpark on Databricks, backed by an automated data reconciliation engine.
Other services
Talk to us about legacy-to-cloud migration
A short conversation is the quickest way to find out whether we can help.