What does implementation look like for an adaptive data movement platform like EASL?

Implementations move quickly because configuration, not custom code, drives the setup. A typical engagement begins with validating connectivity, defining the data model, and configuring the rules that govern transforms and error handling. Once the first workflow is in place, teams can add new sources or destinations with minimal overhead. Most customers see real data movement in days, not the long project timelines that accompany traditional ETL tools.