Building modern data platforms is a top priority for IT organizations. Migrating mission critical analytical workloads involves careful planning and execution. At SpringML, we strongly believe migration is a foundational activity for AI adoption.
Like most enterprises, the common questions is should we lift and shift or refactor or rearchitect the applications. The answer depends on a few critical factors and having a clear end goal on user experience.
During this recorded webinar, you’ll hear from Google and SpringML customer Digital River about data migration patterns for applications and databases, approach and methodologies, and lessons learned and common pitfalls.