Data is at the heart of Analytics and AI/ML efforts. But oftentimes sensitive data in these environments can present a significant risk, including data privacy breaches and non-compliance with regulations, such as GDPR and HIPAA. Attempting to mediate this threat, using non-optimal methods, can bottleneck innovation and lead to poor-quality data. Otherwise, data access is prevented altogether.
Watch this webinar to learn more about data compliance challenges in Analytics & AI. We will share how our integrated solution, built in partnership with Microsoft, allows you to insert compliance into Azure analytics workflows. The result - organizations can achieve data compliance at scale across their data estate, without slowing down transformations.
In this webinar, our presenters revealed:
Why you should automate data discovery and masking in ETL workflows
How the integrated Microsoft and Delphix solution accelerates data compliance