High-Fidelity Synthetic Data for Data Engineers and Data Scientists Alike
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If you’re a data engineer or data scientist, you know how hard it is to generate and maintain realistic data at scale. And to guarantee data privacy protection, in addition to all your day-to-day responsibilities? OOF. Talk about a heavy lift.
But in today’s world, efficient data de-identification is no longer optional for teams that need to build, test, solve, and analyze in fast-paced environments. The rise in ever-stronger data privacy regulations make de-identification a requirement, and the increasing complexity and scale of today’s data make de-identifying it a monumental challenge. Many teams try to tackle this in house…and lose hours out of their day as a result,