Machine learning powered conversion to Azure stack
Join our ET Unwired session and learn how you can fast-track data warehouse migration to Microsoft Azure with a high degree of automation across the lifecycle. Discover how to identify optimization opportunities at the schema, code, and execution level. Learn how to automatically convert all types of workloads, logic, and workflows to a cloud-native stack, enabling end-to-end transformation, operationalization and transitioning of workloads.
Areas of discussion:
- Best practices for data warehouse modernization
- Proactive risk mitigation planning practices
- Impetus Automated Workload Transformation: ML-powered solution approach and demo
- Enterprise use cases and success stories