The process principle of cloud data migration involves transferring data from on-premises infrastructure or another cloud environment to a target cloud platform while ensuring data integrity, security, and minimal downtime. The key steps include:
- Assessment & Planning: Evaluate the source data (volume, format, dependencies) and define migration goals. For example, a company may need to migrate a database with structured data and associated applications.
- Tool & Strategy Selection: Choose tools (e.g., offline data transfer via physical storage or online replication) and methods (full migration, phased migration, or hybrid approaches).
- Data Preparation: Clean, transform, or reformat data if needed. For instance, converting file formats to comply with the target cloud’s requirements.
- Migration Execution: Transfer data using secure channels (e.g., encrypted network connections). For large datasets, tools like Tencent Cloud’s Data Transmission Service (DTS) can synchronize databases in real time.
- Validation & Testing: Verify data completeness and application functionality post-migration. Example: Running queries to confirm database records match the source.
- Cutover & Optimization: Switch operations to the cloud environment and optimize performance (e.g., adjusting storage tiers or network configurations).
For scenarios requiring high reliability, Tencent Cloud’s Cloud Migration Service (CMS) automates workflows and supports hybrid cloud migrations. Security is ensured via encryption and compliance with standards like ISO 27001.