Hi David,
The importance of data governance can't really be overstated. Get it right and you'll have the opportunity to expand the scope of automations and scale it as a discipline to create an enterprise-wide program.The most common causes of data governance failure are vague policy definitions and enforcements. So it's crucial that you start with clear policies, and objectives.
Join us in this Product Hour to learn about the best practices that can help you in creating a robust foundation for governance and security to build, manage, and operate these automations at scale across your enterprise.
You will learn how to:
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Use least privilege model for access
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Protect sensitive data at design, and runtime
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Track, and audit changes to resources
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Analyze dependencies for better change management
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Set policies for log retention
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