Migrating from SAS to Python, Azure and Databricks
Complex analyzes of a historical SAS infrastructure transferred to a modern target architecture - cross-team and scalable.
- Customer
- Leading trading company
- Industry
- Handel / Lebensmittel
- Project duration
- Enterprise project
A variety of business-critical analyzes ran on a historically grown SAS infrastructure. Licensing costs, lack of scalability and a narrow talent market made the platform a risk. At the same time, no professional break was allowed to occur during the migration.
We accompanied a lift & shift project and transferred the analyzes step by step to Python, Azure and Databricks. The target architecture provides a modern environment in which multiple teams can collaborate on large amounts of data and develop data products.
- Replacement of the SAS old landscape without a technical break
- Modern, scalable target architecture on Python, Azure and Databricks
- Cross-team collaboration on large amounts of data
- Basis for new data products and analytics use cases
Deliverables
Python + Databricks
Target architecture
Lift & Shift
Vorgehen
mehrere Data-Teams
Nutzung
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