Description:
Requirements Analysis: Understanding the specific requirements and objectives of the data migration project, including data volumes, formats, dependencies, and timelines.Data Assessment: Analyzing the existing data to identify potential challenges, such as data quality issues, incompatible formats, or missing information.Data Mapping and Transformation: Defining mappings between source and target data structures and implementing transformations to ensure compatibility and consistency.Migration Planning: Developing a comprehensive migration plan that outlines the sequence of tasks, dependencies, resources, and timelines required for a successful migration.Tool Selection: Selecting appropriate tools and technologies for data extraction, transformation, and loading (ETL), as well as for monitoring, validation, and reporting.Data Extraction: Extracting data from source systems, databases, files, or other sources using suitable methods and techniques, such as batch processing, APIs, or direct database connections.Data Transformation: Transforming data as necessary to meet the requirements of the target system or platform, including data cleaning, normalization, and enrichment.Data Loading: Loading transformed data into the target system, ensuring data integrity, consistency, and security throughout the process.Validation and Testing: Performing thorough validation and testing to verify the accuracy, completeness, and reliability of the migrated data, including data reconciliation, error handling, and rollback procedures.Documentation and Training: Documenting the migration process, configurations, and outcomes, and providing training and support to users and stakeholders as needed.Post-Migration Support: Providing ongoing support and troubleshooting assistance after the migration to address any issues or challenges that may arise.
23 Mar 2024;
from:
gumtree.co.za