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Data migration can be defined as planned, controlled, and often complex process of moving data from one or multiple on-prem or cloud systems or computing environments to one or more on-prem or cloud-based systems. This encompasses a wide range of scenarios.
Planning and Scoping:
1. Defined goals and objectives: Clearly define what you want to achieve with the migration, aligning it with your overall business objectives.
2. Comprehensive scope: Include all data sources, target systems, dependencies, and potential challenges in the scoping process.
3. Detailed timeline and budget: Establish a realistic timeline and budget, accounting for resource requirements, tool licenses, and unexpected costs.
4. Risk assessment and mitigation: Identify potential risks like data loss, downtime, and security breaches and plan mitigation strategies.
Assessment and Preparation:
1. Detailed data profiling: Analyse the source data’s structure, quality, volume, and complexity to understand its characteristics.
2. Data cleansing and transformation: Cleanse and transform data to ensure compatibility with the target system and improve its quality.
3. Target system readiness: Configure and prepare the target system to receive and integrate the migrated data seamlessly.
4. Tool selection: Choose appropriate data migration tools based on your specific needs, data volume, and budget.
Migration Execution:
1. Data transfer methods: Select efficient and secure methods for data transfer, considering bandwidth, security, and data volume.
2. Incremental or full migration: Decide whether to perform a full data transfer at once or smaller, incremental migrations over time.
3. Change management: Communicate effectively with stakeholders and implement change management strategies to minimize disruption.
4. Data integrity and security: Prioritize data security and integrity throughout the process, using encryption and access controls.
Validation and Post-Migration:
1. Data verification: Validate the accuracy and completeness of migrated data in the target system.
2. Performance monitoring: Monitor system performance and data access after migration to ensure stability and efficiency.
3. Documentation and post-mortem: Document the entire process, including lessons learned, for future migrations and reference.
Cloud Assessment and Strategy | Cloud Infrastructure Migration | Cloud Data Management | Comprehensive assessments | Standard Cleanse and transformation process | Best practices and secure data migration methods | Verification for data accuracy and monitoring performance