Data Migration Overview
- Assess current data landscape and identify data sources for migration
- Define migration goals, requirements, and success criteria
- Choose the target cloud platform (e.g., AWS, GCP, Snowflake, Oracle Cloud) based on business needs
- Develop a comprehensive data migration strategy and plan
Pre-Migration Activities
- Perform data profiling and quality assessments
- Identify and address data quality issues, duplicates, and inconsistencies
- Determine data transformation requirements and mapping rules
- Establish data governance and security protocols
Data Migration Process
- Leverage cloud provider’s data migration tools and services (e.g., AWS DataSync, GCP Transfer Services)
- Implement data replication and ingestion mechanisms (e.g., SnowPipe, Oracle Data Transfer Services)
- Automate data migration workflows and pipelines
- Monitor migration progress and address any issues or errors
Post-Migration Activities
- Validate migrated data for completeness, accuracy, and integrity
- Conduct thorough testing and quality assurance
- Implement data backup and disaster recovery procedures
- Train and upskill teams on the new cloud-based data environment
Ongoing Data Management
- Establish data governance and access controls
- Implement data security measures (e.g., encryption, access controls)
- Optimize data storage and performance in the cloud environment
- Integrate cloud-based data with existing systems and applications
- Continuously monitor and optimize data pipelines and workflows