The Data Warehouse Modernization service is for enterprises that are struggling to formulate a data strategy and who wish to asses and migrate their database workloads to Azure.
Data Warehouse Modernization is implemented by Cloud Data Architects, Cloud Engagement Managers and Cloud Data Engineers in a five phase approach.
Discovery and Assessment (onsite/remote)
Testing, final sync, and cutover (onsite/remote)
Workload dependencies with Data Sources, Database, ETL pipelines and data models
5-Years Estimated Run Costs
Main Shared Services costs assumption
Definition of migration strategies and criteria used
Assessment for databases & workloads
Run Costs estimates (5-years TCO & Managed Services)
Results of migration to Cloud data warehouse, functional and stress testing
High-Level view of the migration overall
Summary of migration strategies considered, decisions criteria and assumptions taken
Migration strategies stats for Data Warehouses & applications components
Run costs and Managed Services costs estimates