Popular Data Scenarios

These sample scenarios for data migration, transformation, and visualization are widely applicable across various organizations. More complex scenarios are not included here, as they are often divisible into simpler stages.

The purpose of these examples is to help organizations estimate the tasks required for their projects while also enabling us to provide customers with an approximate cost and timeline.

There are often multiple ways to implement a scenario. Our approach is guided by three primary factors: customer preferences, cost-effectiveness, and solutions requiring minimal custom coding - leveraging existing tools to optimize the solution and avoid reliance on external parties.

Each customer’s needs and use cases are unique, so the most suitable architecture should be selected to align with the specific requirements of their scenario.