Configuring SKUs for Microsoft Purview Data Governance

Configuring SKUs for Microsoft Purview Data Governance

Month: January 2025

Configuring SKUs for Microsoft Purview Data Governance

In my previous blog I explained that Microsoft Purview for Data Governance has a new pricing model, in this blog we will dive a bit deeper on how you set the different SKU’s

Microsoft Purview offers a comprehensive data governance solution that helps organizations manage, protect, and understand their data across various environments. One crucial aspect of optimizing Purview’s performance is configuring the appropriate SKUs  for different tasks, especially for Data Quality (DQ) jobs within Data Health Management. This blog post will guide you through the process of selecting and configuring SKUs to enhance your data governance experience.

Understanding SKUs in Microsoft Purview

SKUs in Microsoft Purview determine the level of resources allocated to your data governance tasks. Higher SKUs provide more processing power, which can significantly speed up data quality jobs, especially those with high data volumes, complex rules, or frequent scans.

How can I set my SKU?

In Purview select the Settings tab followed by the Unified Catalog

Purview_SkU

Select the the Usage Settings to get to see the following option:

Now you can set the SKU Type

  • Data Health Management:
    • Basic: €14.40 per Data Governance Processing Unit
    • Standard: €57.57 per Data Governance Processing Unit
    • Advanced: €230.28 per Data Governance Processing Unit

Steps to Configure SKUs for Data Quality Jobs

  1. Access Data Quality Monitoring:
    • Use the Data Quality Monitoring functionality within Microsoft Purview to view and understand your data quality jobs. This tool provides insights into the performance and status of your DQ jobs, helping you identify areas that may benefit from higher SKUs.
  2. Select Higher SKUs for Faster Processing:
    • For jobs with high data volumes, complex rules, or very frequent DQ scans, consider selecting a higher SKU. Higher SKUs allocate more resources, resulting in faster processing times and more efficient data quality management.
  3. Understand the Impact on Your Bill:
    • Before upgrading to a higher SKU, it’s essential to understand the impact on your bill. Navigate to your billing section in the Azure portal, ensuring you have the required permissions to view and manage billing information. Higher SKUs will incur additional costs, so it’s crucial to balance performance needs with budget considerations.
  4. Correlate with Your Consumption Report:
    • Review your consumption report to understand how different SKUs affect your overall usage and costs. This report provides detailed insights into your resource consumption, helping you make informed decisions about SKU selection.

Additional Tips for Data Health Management

  • Upgrade SKU for Faster Processing: Regularly assess your data quality jobs and upgrade SKUs as needed to maintain optimal performance.
  • Data Quality Management: Start with the basic SKU for initial setups and gradually move to higher SKUs as your data governance needs grow.
  • Governance Health Controls: Implement governance health controls to monitor and resolve issues proactively.
  • Actions and Resolutions: Use self-serve analytics and reports to take informed actions and resolve data quality issues efficiently.

By carefully selecting and configuring SKUs, you can enhance the performance of your data quality jobs within Microsoft Purview, ensuring a robust and efficient data governance framework.

Conclusion

Configuring the appropriate SKUs for Microsoft Purview Data Governance is essential for optimizing the performance of your data quality jobs. By understanding the different SKUs available and how to set them, you can ensure that your data governance tasks are handled efficiently and effectively. Regularly monitoring your data quality jobs and adjusting SKUs as needed will help maintain optimal performance and manage costs effectively.

By leveraging the insights provided by Data Quality Monitoring and correlating your consumption reports, you can make informed decisions about SKU selection. This proactive approach will enable you to maintain a robust and efficient data governance framework, ensuring that your organization can manage, protect, and understand its data across various environments.

Let me know your thoughts

Useful Links:

Microsoft Purview Data Catalog

Microsoft Purview Data Catalog billing consent

Microsoft Purview data governance pricing concepts

Microsoft Purview data governance pricing announcement

 

Feel free to leave a comment

Configuring SKUs for Microsoft Purview Data Governance

Microsoft Purview’s new pricing model for Data Governance

Month: January 2025

Microsoft Purview’s New Pay-As-You-Go Pricing Model for Data Governance

Starting January 6, 2025, Microsoft Purview is set to revolutionize its Data Governance capabilities with the introduction of a new pay-as-you-go pricing model. This change is designed to provide more flexibility and cost-efficiency for organizations managing their data governance needs.

What’s New?

The new pricing model is based on two key metrics:

  1. Number of Unique Governed Assets per Day: This metric counts the unique technical assets, such as tables, files, datasets, and reports, that are actively managed and curated within the Microsoft Purview Unified Catalog. Only assets associated with governance concepts, like data products or critical data elements, are considered governed assets.
  2. Data Governance Processing Units (DGPU) per Run: DGPUs are fully managed compute units used for running compute-heavy capabilities, such as data quality and data health management. Each DGPU represents 60 minutes of compute time, which can be run across varying sets of nodes based on the workload needs.

Why This Matters

This pay-as-you-go model allows organizations to scale their data governance efforts according to their specific needs and usage patterns. By only paying for the assets they actively govern and the compute resources they use, businesses can achieve greater cost efficiency and flexibility.

Understanding Data Governance Processing Units (DGPUs)

DGPUs are a crucial component of this new pricing model. They are designed to handle compute-intensive tasks within Microsoft Purview, such as:

  • Data Quality Management: Ensuring the accuracy, completeness, and reliability of data.
  • Data Health Management: Monitoring and maintaining the overall health of data assets.

Each DGPU provides 60 minutes of compute time, which can be distributed across different nodes depending on the specific requirements of the task. This flexibility allows organizations to efficiently manage their compute resources and optimize their data governance processes. DGPU is available in three different performance options: Basic, standard, and advanced. By default any data management rule or health control is run on the Basic SKU. A customer can switch SKU’s based on the speed of compute suitable for their organization.

Microsoft Purview Data Governance | Enterprise Data Catalog

Microsoft Purview Data Governance Enterprise Catalog is billed based on a single meter, the data catalog, which is initiated when customers govern unique data assets. Data assets such as tables, views, AI models, semantic models, and many others that are linked to governance concepts in the product, such as data products and critical data elements, are counted as governed assets. Assets collected in the Purview Data Map but not linked to governance concepts aren’t counted as governed assets.

For example, if an organization has 500 tables, views, stored procedures, resource sets, and AI models in their data map, but only 200 unique governed assets in the data catalog, the monthly cost for 30 days would be €95.947 (without discounts). The 300 assets that aren’t linked to data products or critical data elements aren’t considered governed assets and therefore not counted. Data catalog managed assets are priced uniformly across regions. This pay-as-you-go model for a managed asset is prorated based on days governed within the monthly billing cycle.

Pricing Details 

  • Data Catalog:
    • Standard: €0.0159 per asset per day or ~€0.48 per month
  • Data Health Management:
    • Basic: €14.40 per Data Governance Processing Unit
    • Standard: €57.57 per Data Governance Processing Unit
    • Advanced: €230.28 per Data Governance Processing Unit

For example, if a customer runs 100 Data Management rules and controls in a single day, and each run produces 0.02 DGPU with the Basic SKU, then the total DGPU for that day would equal two DGPU, costing the customer €28.784. Pricing example is based on the US East pricing. Currently the Azure Price calculator is not updated yet.

In  the cost analysis in Azure you will see now 2 new meters:

Service Name:

Microsoft Purview

Meters:

Data Management Basic Data Governance Processing Unit
Data Catalog Standard Asset

Oh yeah finally Azure Purview has now been renamed to Microsoft Purview.

Microsoft Purview Billing Overview

Getting Started

To take advantage of this new pricing model, organizations need an Azure subscription and an Azure resource group within the same tenant as Microsoft Purview. If these resources are already in place for other purposes, they can be utilized for Microsoft Purview as well.

Consent

Make sure you have consent to the new Billing Model more details can be found here.

Conclusion

Microsoft Purview’s new pay-as-you-go pricing model is a significant step forward in making data governance more accessible and cost-effective. By aligning costs with actual usage, organizations can better manage their data governance expenses while ensuring robust data management practices.

Stay tuned for more updates and detailed pricing information as we approach the launch date! After the launch I will get back to with some more Pricing Examples.

Useful Links:

Microsoft Purview Data Catalog

Microsoft Purview Data Catalog billing consent

Microsoft Purview data governance pricing concepts

Microsoft Purview data governance pricing announcement

Feel free to leave a comment