Unlock the Power of Data Governance with Best Practices and Smart Strategies ??
?? After some intense studying to complete my recent certification, I stumbled upon some incredibly insightful knowledge about Microsoft Purview (formerly Azure Purview) deployment best practices.
It's been an amazing journey, and I'm thrilled to share some information to navigate the deployment process successfully!
If you're looking to deploy Microsoft Purview within your data estate, here are a few key tips that I've put together to help you make it as seamless as possible:
1?? First up, take the time to identify your organization's data governance needs and outline clear objectives to help you achieve them.
2?? Gather pertinent questions from your stakeholders to address concerns around data sources, budgeting, user roles, data quality improvement, platform integration, security, and disaster recovery.
3?? Customize your deployment models based on your unique company structure, and tailor your approach to fit your organization's specific data estate.
4?? Formulate a process to move to production, complete with a phased deployment strategy that includes pilot testing, MVP release, pre-production, and production phases.
5?? Finally, hardening your deployment by improving security, implementing automation workflows, creating operational documentation, and adhering to best practices for lifecycle management is crucial.
Integrating the right stakeholders in your deployment process will help pave the way for enhanced data governance and foster data-driven decision-making in your organization.
This article, https://learn.microsoft.com/en-us/azure/purview/deployment-best-practices, offers detailed information and step-by-step guidance, as well as a technical deployment checklist and plenty of other best practices to help make the most of Microsoft Purview.