Automated data platform and workloads modernization to native cloud stack
Need to transform your ETL, data warehouse, and analytics to a cloud-native or on-premise modern data platform, but wondering:
- Will there be any business downtime?
- How do I transform years of complex business logic and code?
- Will the workloads be optimized for the new environment?
- Do I need to identify and prioritize workloads manually?
- How do I seamlessly operationalize ETL and analytics workloads on the target environment?
LeapLogic addresses all these concerns. Its intelligent grammar engine identifies optimization opportunities at schema, code, and execution level and automatically converts all types of workloads, logic, and workflows to a cloud-native stack of your choice.
Read the solution brief here.
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