Microsoft Purview readiness checklist for the cloud-scale analytics – Cloud Adoption Framework

Table of Contents0.1 In this article1 Overview2 Phase 1: Planning and organizational readiness3 Phase 2: Build your data governance and management foundation4 Phase 3: Onboard your first data landing zone5 Phase 4: Onboard more data landing zones Article 06/03/2022 5 minutes to read […]

During your data governance journey with Microsoft Purview and cloud-scale analytics, you’ll find there are multiple stages in the adoption lifecycle. A well-planned deployment of Microsoft Purview in the data management landing zone can provide the following benefits:

  • Unified data discovery across the entire organization
  • Improved analytic collaboration
  • Maximized return on investment
  • Reduced deployment in time and effort


The Microsoft Purview readiness checklist provides high-level guidance that can help your organization plan and deploy Microsoft Purview. There are four phases that guide you through the process, from organizational readiness to full deployment and operation.

Phase Description
Phase 1 Plan for unified data governance, learn the prerequisite tools and approaches needed for creating a data management environment, and develop a plan for cloud-scale analytics.
Phase 2 Build your data governance and management foundation: Deploy your analytics landing zone accelerator data management landing zone with Microsoft Purview. This foundation is a unified enterprise data management and data governance solution.
Phase 3 Onboard the first data landing zone: Start with your first data landing zone and start small. Then expand to quickly enable low-risk adoption and build toward security, governance, and compliance over time.
Phase 4 Onboard more data landing zones: Once you deploy and evaluate your baseline architecture and align your operating model with cloud-native operations, you can enable more data landing zones.

Phase 1: Planning and organizational readiness

  • Identify and document sources of data across your organization to create a digital estate of your data. Consider finding answers for the following questions as you begin:

    • Who are the data owners?
    • Who has write access to the data?
    • Where is the data? Is it in the cloud? Is it on-premises?
    • What types of data sources do you have in the organization? For example, Azure SQL Database, Amazon S3, or on-premises SQL servers.
  • Define roles and responsibilities to build and manage a unified data governance solution. Microsoft Purview uses a set of predefined roles to control who can access what within the account. For more information related to Microsoft Purview roles, see Access control in Microsoft Purview.

  • Consider the following supporting roles for building an end-to-end data governance solution using Microsoft Purview:

    Role Description
    Azure subscription administrators Manage Azure resources, policies, role-based access control (RBAC), and resource providers
    Azure AD administrators Manage identity and application registration.
    NetOps administrators Prepare the network to support Microsoft Purview connectivity requirements
    SecOps administrators Manage Azure key vaults and secrets
    Microsoft 365 administrators Microsoft Purview Information Protection in Microsoft 365 if Microsoft 365 sensitivity labels will be used
    Data source owners Mapped to roles in Microsoft Purview
  • Define whether there’s an existing cloud-scale analytics data management landing zone in the environment or if there is a need to deploy a new data management landing zone. The data management landing zone is a centralized subscription to deploy services such as Microsoft Purview.

  • Manage budgets, costs, and licensing.

    • Understand how the Microsoft Purview billing model works, and define how to control costs. Microsoft offers Microsoft Purview in a pay-as-you-go model. Detailed pricing information can also be found in Microsoft Purview pricing
    • Understand more about potential costs. For example, if you’re planning to extend Microsoft 365 sensitivity labels to files and database columns in Microsoft Purview, you need Microsoft 365 E5 licenses.
  • Plan for enterprise-level communication, readiness, and awareness across different teams. These teams are the ones required to curate, use, and manage data across multiple platforms.

  • Locate data sources. If they’re in Azure, identify which subscriptions are in scope.

    • Identify subscription owners of data landing zones.
    • Define which authentication methods to use to allow Microsoft Purview to connect to and scan data sources.
    • If data sources are in IaaS or on on-premises VMs, deploy the Microsoft Integration Runtime.
    • Define Azure Key Vault requirements to store required keys and secrets for data governance purposes.
  • Prepare network connectivity using an Azure private endpoint.

Phase 2: Build your data governance and management foundation

  • Prepare your Azure subscription to deploy the data management landing zone with Microsoft Purview.

    • Define which subscription will be used.
    • Register required Azure resource providers.
    • Review and update the Azure Policy assigned to allow deployment of Azure Storage, Azure Event Hubs namespace, and Microsoft Purview accounts.
    • Validate if the Microsoft Purview account has access to a data source subscription to register and scan data sources.
    • If needed, assign required access to Key Vault secrets to Microsoft Purview account’s managed identity.
    • For on-premises and infrastructure as a service (IaaS) data sources, create credentials and map to Key Vault’s secrets in Microsoft Purview.
    • Generate and register integration runtime for data sources inside IaaS or on-premises VMs.
    • If there’s multiple environments, such as production and nonproduction, prepare to deploy the respective data management landing zones with Microsoft Purview accounts.
  • Import your glossary terms to Microsoft Purview and define the formatting. Use a Microsoft Purview default template or create new term templates in Microsoft Purview.

  • Build your custom classifications and classification rules.

  • Consent to extend sensitivity labels to Microsoft Purview.

  • Validate and update Microsoft 365 sensitivity labels in the Microsoft security and compliance dashboard.

  • Create autolabeling rules in Microsoft 365.

  • Grant roles in Microsoft Purview to data governance and security teams in the organization to corresponding collections.

  • Do an initial security review.

  • Build and communicate a detailed plan of tasks, roles, and responsibilities to operate Microsoft Purview.

Phase 3: Onboard your first data landing zone

  • Make sure deployment of the data management landing zone is completed.

  • Deploy your first data landing zone.

  • Adjust Microsoft Purview automatic scan rules.

  • Migrate data sources to the new data landing zone.

  • Validate and update your Microsoft Purview collections architecture. Best practice information around Microsoft Purview collections architecture can be found here.

  • Validate and update the collection hierarchy inside the Microsoft Purview account.

  • Validate data sources in collections by testing connectivity and doing initial scans.

  • Verify classifications in assets and adjust custom classification rules.

  • Verify assets with assigned labels.

  • Assign Data Experts and Data Owners to assets in Microsoft Purview.

  • Assign glossary terms to data assets.

  • Review and update automatic scan rules.

  • Analyze current costs related to data management by defining costs and budget model.

  • Review security, business, and operational requirements. Identify gaps and adjust the configuration accordingly.

  • Create and share a roles and responsibilities plan.

Phase 4: Onboard more data landing zones

  • Deploy more data landing zones as needed.

  • Adjust Microsoft Purview automatic scan rules.

  • Onboard more data sources into data landing zones.

  • Optimize glossary terms.

  • Optimize classifications rules.

  • Use Microsoft Purview fine-grained roles inside collections.

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