You're facing tight deadlines for data migration. How do you ensure precision without sacrificing efficiency?

Planejamento é a parte fundamental do projeto. Sem um bom planejamento, a probabilidade de que seu projeto n?o dará certo é muito grande. O time de planejamento deve estar engajado e ser apoiado pelo time de campo e pelo project manager, caso contrário, as atividades em campo nunca ser?o refletidas de forma adequada no planejamento.

In my experience planning ahead encompasses having atleast one SME in the team to advice of the column type equivalency and a java developer. One important aspect to be considered in planning is the amount of downtime approved by management at the final prod migration phase. Different cloud technologies have different tools to be able to create matching schema in the target database with column types matching to the source database along with different DB clients. The SME would be able to help understand which tool would be best to attempt the current migration. How ever migration is done, its best to have a git script branch to recreate the target for PR purposes. I would also lock down a release version as master for script migration.

Create a detailed migration plan that outlines all steps, timelines, and responsibilities. Actions: Identify key milestones and set realistic deadlines. Allocate resources effectively and ensure team members understand their roles. Develop contingency plans for potential issues.

ETL cannot be generally used for migration of data as migration happens between dissimilar database systems. (Excluding lift-and-shift as this topic wouldnt even arise for Lift-and-shift) Data extraction and transformation scripts could also be pushed into the Git branch for other developers to review and execute for testing if needed. Deciding the sequence of scripts is very important as Databases may have complications of FK, Triggers, PK's, UK's etc which need to be handled carefully around data insertion.

Leverage automation tools to streamline repetitive and time-consuming tasks. Actions: Use ETL (Extract, Transform, Load) tools to automate data extraction, transformation, and loading processes. Implement scripts and automation frameworks to handle routine tasks. Schedule automated backups and data validation checks.

I would limit data cleansing to changing data to match to target system but be in line with the data on source system. Cleaning up data while migration is not suggestible as data alone without the UI consuming it may be very hard to evaluate. Any cleanup better be done with the UI and middle ware are consuming data and QA available to test if any issues arise with data cleanup.

Ensure data quality by cleaning and preparing data before migration. Actions: Identify and rectify data inconsistencies, duplicates, and errors. Standardize data formats to ensure compatibility. Use data profiling tools to assess data quality and make necessary adjustments.

Conduct thorough testing at each stage of the migration process to identify and fix issues. Actions: Perform unit tests, system tests, and user acceptance tests (UAT). Create a testing environment that mirrors the production environment. Document and resolve any issues encountered during testing

Implement continuous monitoring to track the migration process in real-time. Actions: Use monitoring tools to oversee data flow and detect anomalies. Set up alerts for any deviations from expected performance. Regularly review logs and performance metrics to ensure smooth operation.

Validate the migrated data to ensure it matches the source data accurately. Actions: Conduct data reconciliation to compare source and target data. Use checksums or hash values to verify data integrity. Validate business processes and reports to ensure they function correctly with the migrated data.

Address other important factors that can enhance precision and efficiency. Actions: Maintain clear communication with all stakeholders throughout the migration process. Document each step of the migration process for future reference and accountability. Ensure adequate training and support for the team involved in the migration.