When facing a large-scale data migration, it is crucial to understand the current data usage and how this data is going to generate business value in the future. Here is how you can effectively prioritize large scale migration projects 1.Benchmark the current and expected business and technical KPIs 2.Identify the data silos, data owners and current governance 3.Create appropriate business use case and data models. 4.Identify the technology stack and migration approach. 5.Plan for data migration to create historic, current and use case-based dataset. 6.Plan for continuous resource optimization - data, CPU & storage. 7. Setup data governance model to ensure access controls and to avoid data drift.

In my opinion, the phrase “large scaling” is more related to the complexity of the architecture and the gravity of the amount of data than the migration itself; so the criteria related to the processing and movement of data will weigh much more. Generate dependency graph based on the timeframe, the data temperature and changing patterns; to evaluate what you would be to migrate the data first based on the data processes and how it will change on the time.

When tackling a massive data migration project, prioritizing tasks effectively is crucial to ensure a smooth and successful transition. First, I would begin by thoroughly assessing the data to understand its volume, complexity, and any dependencies. This helps identify the most critical datasets that need immediate attention. Next, I would break the project into smaller, manageable phases. Each phase should focus on key objectives like data cleansing, mapping, and validation before migrating it to the new system Lastly, I would implement robust testing at each milestone to minimize disruptions during the migration process, making adjustments as needed to stay on track Prioritizing tasks in this structured way ensures the project progresses.

Break the project into smaller, manageable phases, prioritize based on critical dependencies, allocate resources efficiently, and regularly review progress to ensure alignment with deadlines and objectives."

First of all, a detailed timeline is necessary to start with. Then the product owner should handle the priorities and communication part with all vendors or stakeholders. If possible, a pilot migration should be planned and performed in test environments as a rehearsal to check the priorities then a report should be created to display and monitor the activity. When the resource allocation is completed, a pipeline needs to be prepared to perform the migration project. However, to design the pipeline, all of the possible risks must be identified, and backup plan must be on the safe side as well. To sum up, below points must be identified to complete the migration. 1- Timeline 2- Possible risks 3- Resource 4- Tests 5- Team Availability.