Securing and governing your data estate with Fabric.pdf
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Sep 17, 2025
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About This Presentation
Securing and Governing Your Data Estate with Fabric explores how Microsoft Fabric provides a unified and trusted platform to protect sensitive information, enforce compliance, and maintain data integrity across the entire analytics lifecycle. This session highlights Fabric’s built-in security feat...
Slide Content
Securing and governing
your data estate with
Fabric and Purview –
your data estate with
Fabric and Purview –
What is data governance?
“Data Governance is defined as the exercise of authority and control
(planning, monitoring, and enforcement) over the management of data
assets.”
Source: DAMA Data Management Body of Knowledge V2 (DMBOK2)
“Data governance encompasses the people, processes, and
technologyrequired to create a consistent and proper handling of an
organization's data across thebusiness enterprise.”
Source: Wikipedia
“Data governance is the orchestration of people, processes, policies and
technology to formally manage and protect structured and unstructured
data assets to guarantee commonly understood, trusted and secure data
throughout the enterprise”
Source: Mike Ferguson, Intelligent Business Strategies
“Data Governance is defined as the exercise of authority and control
(planning, monitoring, and enforcement) over the management of data
assets.”
Source: DAMA Data Management Body of Knowledge V2 (DMBOK2)
“Data governance encompasses the people, processes, and
technologyrequired to create a consistent and proper handling of an
organization's data across thebusiness enterprise.”
Source: Wikipedia
“Data governance is the orchestration of people, processes, policies and
technology to formally manage and protect structured and unstructured
data assets to guarantee commonly understood, trusted and secure data
throughout the enterprise”
Source: Mike Ferguson, Intelligent Business Strategies
Data governance is becoming increasingly
interdisciplinary
What data do I have?
Where did the data originate?
Can I trust it?
DISCOVERY
What’s my exposure to risk?
Is my usage compliant?
How do I control access & use?
What is required by regulation X?
COMPLIANCE
Chief Data Officer
interdisciplinary
What data do I have?
Where did the data originate?
Can I trust it?
DISCOVERY
What’s my exposure to risk?
Is my usage compliant?
How do I control access & use?
What is required by regulation X?
COMPLIANCE
Chief Data Officer
What is in a data governance framework?
Data governance vision and strategy
People Processes Policies Technology
Data lifecycle
Data
Edge Data center Multiple clouds
Create Protect Store Use Maintain Archive Destroy
Data governance vision and strategy
People Processes Policies Technology
Data lifecycle
Data
Edge Data center Multiple clouds
Create Protect Store Use Maintain Archive Destroy
Enterprise
Data Estate
Operational
Data Sources
Connected Data and
Data Products Platform
Virtualize
One Copy
Data Producers
The data governance stack unpacked
5
Federated
Data
Governance
Active Metadata and Policies
Business and Semantic Metadata
Unified Catalog
Data Management
Unified Catalog
Discovery and Access
Data owners and
stewards
Data consumers
Federated
Data Product
Development Data Product Development and Operations
Compute | ELT Pipelines | Analytics | ML and AI
Data Product
Developers
Data Contracts
Data Products w/
Contracts
Runtime States
Data and Data
Products Metadata
and Contracts
Policies
© Copyright Microsoft Corporation. All rights reserved.
Data Estate
Operational
Data Sources
Connected Data and
Data Products Platform
Virtualize
One Copy
Data Producers
The data governance stack unpacked
5
Federated
Data
Governance
Active Metadata and Policies
Business and Semantic Metadata
Unified Catalog
Data Management
Unified Catalog
Discovery and Access
Data owners and
stewards
Data consumers
Federated
Data Product
Development Data Product Development and Operations
Compute | ELT Pipelines | Analytics | ML and AI
Data Product
Developers
Data Contracts
Data Products w/
Contracts
Runtime States
Data and Data
Products Metadata
and Contracts
Policies
© Copyright Microsoft Corporation. All rights reserved.
Data governance classification schemes
Retention Description
None No need to keep the data
TemporaryShort lived e.g. keep twitter data for a
week
Fixed periodSet number of years e.g. keep tax records
for 7 years to comply with government
laws after which it can be deleted
PermanentNever to be deleted e.g. Legal
correspondence
Confidential Description
Public Anyone can access, Can be sent to anyone e.g.
open government data
Internal use onlyEmployees only can access
Cannot be sent outside the company
ConfidentialShould be shared only if needed for a specific
task Cannot be sent outside the company without
a non-disclosure agreement
Sensitive (PII)
Personally
identifiable
information
Must be masked and shared only on a need to
know basis for a limited time
Cannot be sent to unauthorized personnel or
outside the company
Restricted Only to be shared with named individuals who are
accountable for its protection e.g. legal
documents, Trade secret (Coca Cola recipe)
Data retention classification schemeData confidentiality classification scheme
Retention Description
None No need to keep the data
TemporaryShort lived e.g. keep twitter data for a
week
Fixed periodSet number of years e.g. keep tax records
for 7 years to comply with government
laws after which it can be deleted
PermanentNever to be deleted e.g. Legal
correspondence
Confidential Description
Public Anyone can access, Can be sent to anyone e.g.
open government data
Internal use onlyEmployees only can access
Cannot be sent outside the company
ConfidentialShould be shared only if needed for a specific
task Cannot be sent outside the company without
a non-disclosure agreement
Sensitive (PII)
Personally
identifiable
information
Must be masked and shared only on a need to
know basis for a limited time
Cannot be sent to unauthorized personnel or
outside the company
Restricted Only to be shared with named individuals who are
accountable for its protection e.g. legal
documents, Trade secret (Coca Cola recipe)
Data retention classification schemeData confidentiality classification scheme
Roles and responsibilities for accountability
Department head ITCxOGRC Manager Legal
GRC = Governance, Risk and Compliance
Who sets success metrics & monitors how well the governance program is working?
Who are the data owners?
Who defines and maintains a business glossary?
Who creates and maintains policies on access security?
Who is protecting PII data privacy for compliance with GDPR & CCPA?
Who is looking after the quality of product data across all brochures and partner
websites?
Who ensures customer data is consistent across all systems?
Who is policing external subscription data usage vs license?
Who is policing privileged users like DBAs?
Department head ITCxOGRC Manager Legal
GRC = Governance, Risk and Compliance
Who sets success metrics & monitors how well the governance program is working?
Who are the data owners?
Who defines and maintains a business glossary?
Who creates and maintains policies on access security?
Who is protecting PII data privacy for compliance with GDPR & CCPA?
Who is looking after the quality of product data across all brochures and partner
websites?
Who ensures customer data is consistent across all systems?
Who is policing external subscription data usage vs license?
Who is policing privileged users like DBAs?
Governance domains are a new way of organizing your data estate.
You want and need to access your entire data estate, but a single,
uncategorized list is overwhelming. A governance domain is a
boundary that aligns your data estate to your organization; think of it
as a mini catalog inside your data catalog.
Critical data elements are a logical grouping of important pieces of
information across your data estate. For example: A "Customer ID"
critical data element can map "CustID" from one table and "CID" from
another table into the same logical container. These groupings can
make data easier to understand as well as promoting standardization.
Data quality rules and access policies can be attached to these
elements to further secure sensitive information across your data
estate.
A data product is a group of data assets (tables, files, PBI reports,
etc.), a packaged offering to an enterprise that provides assets with
a use case to be shared to data consumers. A governance domain
can house many data products, but a data product is managed by a
singlegovernance domain and can be discovered across many
domains.
Glossary terms provide a vocabulary for business users. It consists of
business terms that can be related to each other and allows them to be
categorized so that they can be understood in different contexts. This helps
in abstracting the technical jargon associated with the data repositories and
allows the business user to discover and work with data in the vocabulary
that is more familiar to them.
The new Purview Data Governance Experience structure
You want and need to access your entire data estate, but a single,
uncategorized list is overwhelming. A governance domain is a
boundary that aligns your data estate to your organization; think of it
as a mini catalog inside your data catalog.
Critical data elements are a logical grouping of important pieces of
information across your data estate. For example: A "Customer ID"
critical data element can map "CustID" from one table and "CID" from
another table into the same logical container. These groupings can
make data easier to understand as well as promoting standardization.
Data quality rules and access policies can be attached to these
elements to further secure sensitive information across your data
estate.
A data product is a group of data assets (tables, files, PBI reports,
etc.), a packaged offering to an enterprise that provides assets with
a use case to be shared to data consumers. A governance domain
can house many data products, but a data product is managed by a
singlegovernance domain and can be discovered across many
domains.
Glossary terms provide a vocabulary for business users. It consists of
business terms that can be related to each other and allows them to be
categorized so that they can be understood in different contexts. This helps
in abstracting the technical jargon associated with the data repositories and
allows the business user to discover and work with data in the vocabulary
that is more familiar to them.
The new Purview Data Governance Experience structure
Governance Domain Scenarios
Good Better Best
Central domain
using a single domain can be
efficient for small organizations but
might not scale well and is prone to
bottlenecks during growth.
Department-based domain useful
for department- based decision
making however if departments
regularly shift, you might need to
shift your data catalog structure.
Functional/line-of-governance
domains
grants flexibility to teams and aligns
with the existing business model. This
can be difficult to manage at scale
and might need many sub domains to
empower data decision makers. It can
also create data use silos, which is the
antithesis of the data catalog's
governance approach.
Domain mix:
having a combination of domains across
subject areas/data domains, functional
domains, regulatory domains, and
project domains align your data to its
experts. In the data catalog, your data
experts are your most powerful
resource; they know what policies need
to be applied and what others need to
know to make the most use of the data.
This structure will also be the most
durable to organizational updates, since
it's based on how the data is used in the
day-to-day, instead of on business
structures.
Good Better Best
Central domain
using a single domain can be
efficient for small organizations but
might not scale well and is prone to
bottlenecks during growth.
Department-based domain useful
for department- based decision
making however if departments
regularly shift, you might need to
shift your data catalog structure.
Functional/line-of-governance
domains
grants flexibility to teams and aligns
with the existing business model. This
can be difficult to manage at scale
and might need many sub domains to
empower data decision makers. It can
also create data use silos, which is the
antithesis of the data catalog's
governance approach.
Domain mix:
having a combination of domains across
subject areas/data domains, functional
domains, regulatory domains, and
project domains align your data to its
experts. In the data catalog, your data
experts are your most powerful
resource; they know what policies need
to be applied and what others need to
know to make the most use of the data.
This structure will also be the most
durable to organizational updates, since
it's based on how the data is used in the
day-to-day, instead of on business
structures.
Central Governance
Domain
10
Using a single domain can be efficient
for small organizations but might not
scale well and is prone to bottlenecks
during growth.
Governance Domain
Catalog
Data Product Data Product Data Product
Good
Data Product Data Product Data Product
Data Product Data Product Data Product
Domain
10
Using a single domain can be efficient
for small organizations but might not
scale well and is prone to bottlenecks
during growth.
Governance Domain
Catalog
Data Product Data Product Data Product
Good
Data Product Data Product Data Product
Data Product Data Product Data Product
11
Department-Based
Domains
Useful for department- based decision
making however if departments
regularly shift, you might need to shift
your data catalog structure
Marketing
Catalog
Data Product
Finance HR
Data Product
Data Product
Data Product
Data Product
Sales
Data Product
Operations
Data Product
IT
Data Product
Data Product
Good
Department-Based
Domains
Useful for department- based decision
making however if departments
regularly shift, you might need to shift
your data catalog structure
Marketing
Catalog
Data Product
Finance HR
Data Product
Data Product
Data Product
Data Product
Sales
Data Product
Operations
Data Product
IT
Data Product
Data Product
Good
12
Functional Line of
Governance
Domains
Grants flexibility to teams and aligns
with the existing business model. This
can be difficult to manage at scale and
might need many sub domains to
empower data decision makers. It can
also create data use silos, which is the
antithesis of the data catalog's
governance approach.
Better
AMERICAS_ Line of Business 1
Catalog
Data Product
Data Product
Data Product
Data Product
Data Product
Data Product Data Product
AMERICAS_ Line of Business 1
EMEA_ Line of Business 1
APAC_ Line of Business 1
Corporate
Functional Line of
Governance
Domains
Grants flexibility to teams and aligns
with the existing business model. This
can be difficult to manage at scale and
might need many sub domains to
empower data decision makers. It can
also create data use silos, which is the
antithesis of the data catalog's
governance approach.
Better
AMERICAS_ Line of Business 1
Catalog
Data Product
Data Product
Data Product
Data Product
Data Product
Data Product Data Product
AMERICAS_ Line of Business 1
EMEA_ Line of Business 1
APAC_ Line of Business 1
Corporate
13
Domain Mix
A combination of domains across subject
areas/data domains, functional domains,
regulatory domains, and project domains
align your data to its experts. In the data
catalog, your data experts are your most
powerful resource; they know what policies
need to be applied and what others need to
know to make the most use of the data. This
structure will also be the most durable to
organizational updates, since it's based on
how the data is used in the day-to-day,
instead of on business structures.
Best
Catalog
Finance HR
Data Product
Data Product
Data Product
AMERICAS_ Line of Business
Data Product
Program 1
Data Product
Project 1
Data Product
Marketing
Data Product
Data Product
APAC_ Line of Business 1
Data Product
Corporate
Data Product
Regulatory
Data Product
Data Product
Domain Mix
A combination of domains across subject
areas/data domains, functional domains,
regulatory domains, and project domains
align your data to its experts. In the data
catalog, your data experts are your most
powerful resource; they know what policies
need to be applied and what others need to
know to make the most use of the data. This
structure will also be the most durable to
organizational updates, since it's based on
how the data is used in the day-to-day,
instead of on business structures.
Best
Catalog
Finance HR
Data Product
Data Product
Data Product
AMERICAS_ Line of Business
Data Product
Program 1
Data Product
Project 1
Data Product
Marketing
Data Product
Data Product
APAC_ Line of Business 1
Data Product
Corporate
Data Product
Regulatory
Data Product
Data Product
Permissions Hierarchy
14
•Tenant/organization: Users who
own the Microsoft Purview instance
and need access to maintain its
permissions and information.
•Data Map: Grants permissions to
create and administrate technical
domains and collections.
•Catalog: Grants users permission to
create governance domains or
access data estate health.
•Governance domain: Grants
permissions for objects within a
governance domain (like glossary
terms or data products).
Data Map
Tenant
Catalog
Data Estate
Health
Governanc
e Domain
Technical
Domain
Data
Product
Workflows
Data
Sources
Collections
14
•Tenant/organization: Users who
own the Microsoft Purview instance
and need access to maintain its
permissions and information.
•Data Map: Grants permissions to
create and administrate technical
domains and collections.
•Catalog: Grants users permission to
create governance domains or
access data estate health.
•Governance domain: Grants
permissions for objects within a
governance domain (like glossary
terms or data products).
Data Map
Tenant
Catalog
Data Estate
Health
Governanc
e Domain
Technical
Domain
Data
Product
Workflows
Data
Sources
Collections
Securing and governing data has
never been more important
Optional slide
never been more important
Optional slide
Microsoft Purview
Data Security Data Governance Data Compliance
Data Map ⚫ Connectors ⚫ Classification ⚫ Labels ⚫ Audit ⚫ Visibility
Shared Capabilities
Unified data security, governance, compliance, and privacy solutions for the era of AI
Data Loss Prevention
Insider Risk Management
Information Protection
Unified Catalog
Data Quality
Data Management
Data Estate Health
eDiscovery and Audit
Communication Compliance
Data Lifecycle Management
Compliance Manager
Shared Capabilities
Data Map ⚫ Connectors ⚫ Classification ⚫ Labels ⚫ Audit ⚫ Visibility
M365
Microsoft
Office
Microsoft
Exchange
Microsoft
SharePoint
Microsoft
Teams
MIDP
Microsoft
Fabric
Azure
Databases
Azure AI
Azure
Databricks
Business Apps
MS Copilot
Studio
…
Microsoft Copilots
M365
Copilot
Microsoft
Fabric
…
3
rd
Party
AWS
Google
Dropbox
Snowflake
…
This is a build slide
Data Security Data Governance Data Compliance
Data Map ⚫ Connectors ⚫ Classification ⚫ Labels ⚫ Audit ⚫ Visibility
Shared Capabilities
Unified data security, governance, compliance, and privacy solutions for the era of AI
Data Loss Prevention
Insider Risk Management
Information Protection
Unified Catalog
Data Quality
Data Management
Data Estate Health
eDiscovery and Audit
Communication Compliance
Data Lifecycle Management
Compliance Manager
Shared Capabilities
Data Map ⚫ Connectors ⚫ Classification ⚫ Labels ⚫ Audit ⚫ Visibility
M365
Microsoft
Office
Microsoft
Exchange
Microsoft
SharePoint
Microsoft
Teams
MIDP
Microsoft
Fabric
Azure
Databases
Azure AI
Azure
Databricks
Business Apps
MS Copilot
Studio
…
Microsoft Copilots
M365
Copilot
Microsoft
Fabric
…
3
rd
Party
AWS
Dropbox
Snowflake
…
This is a build slide
Why choose Microsoft Purview
Simplify the complex
Secure data end-to-end with easy
onboarding, built-in ML models, no
agents required, all in a single
integrated portal
Comprehensive visibility
Combine data context and user
context to uncover hidden risks to
your data, throughout its lifecycle
AI-driven Adaptive Protection
Balance security with productivity
and get ahead of data security
incidents with dynamic, automated
controls
17
Simplifying the complex with end-to-end protection, saving you time and money.
Simplify the complex
Secure data end-to-end with easy
onboarding, built-in ML models, no
agents required, all in a single
integrated portal
Comprehensive visibility
Combine data context and user
context to uncover hidden risks to
your data, throughout its lifecycle
AI-driven Adaptive Protection
Balance security with productivity
and get ahead of data security
incidents with dynamic, automated
controls
17
Simplifying the complex with end-to-end protection, saving you time and money.
Forrester logo
Microsoft Security:
A Leader in Data Security
Platforms:
Microsoft received the highest possible score for the
following criteria: data classification, data threat and risk
visibility, data masking or redaction, encryption, rights
management, privacy use cases, integrations for zero trust,
product vision, execution roadmap and community
engagement.
Forrester notes that “Microsoft shines with its ecosystem
approach” and that by design, “the entire Microsoft
ecosystem working together multiplies its value via telemetry
from across the environment.”
1. The Forrester Wave: Data Security Platforms, Q1 2023, Heidi Shey,, April 2023
The Forrester Wave: Security Analytics Platforms, Q4 2020, Joseph Blankenship, Claire O'Malley, December 2020
2. The Forrester Wave: Enterprise Email Security Q2 2021 Joseph Blankenship, Claire O'Malley, April 2021
3. The Forrester Wave: Endpoint Security Software as a Service, Q2 2021, Chris Sherman, May 2021
4. The Forrester Wave: Unified Endpoint Management, Q4 2019, Andrew Hewitt, November 2021
5. 6. The Forrester Wave: Cloud Security Gateways, Q2 2021, Andras Cser, May 2021
7. The Forrester Wave: Identity As A Service (IDaaS) For Enterprise, Q3 2021” Sean Ryan, August 2021
8. The Forrester New Wave: Extended Detection And Response (XDR), Q4 2021, Allie Mellen, October 2021
The Forrester Wave is copyrighted by Forrester Research, Inc. Forrester and Forrester Wave are trademarks of
Forrester Research, Inc. The Forrester Wave is a graphical representation of Forrester’s call on a market and is plotted
using a detailed spreadsheet with exposed scores, weightings, and comments. Forrester does not endorse any vendor,
product, or service depicted in the Forrester Wave. Information is based on best available resources. Opinions reflect
judgment at the time and are subject to change.
The Forrester New Wave is copyrighted by Forrester Research, Inc. Forrester and Forrester Wave are trademarks of
Forrester Research, Inc. The Forrester New Waveis a graphical representation of Forrester’s call on a market.
Forrester does not endorse any vendor, product, or service depicted in the Forrester New Wave. Information is based
on best available resources. Opinions reflect judgment at the time and are subject to change. 18
A leader in 5
other wave
reports
Microsoft Security:
A Leader in Data Security
Platforms:
Microsoft received the highest possible score for the
following criteria: data classification, data threat and risk
visibility, data masking or redaction, encryption, rights
management, privacy use cases, integrations for zero trust,
product vision, execution roadmap and community
engagement.
Forrester notes that “Microsoft shines with its ecosystem
approach” and that by design, “the entire Microsoft
ecosystem working together multiplies its value via telemetry
from across the environment.”
1. The Forrester Wave: Data Security Platforms, Q1 2023, Heidi Shey,, April 2023
The Forrester Wave: Security Analytics Platforms, Q4 2020, Joseph Blankenship, Claire O'Malley, December 2020
2. The Forrester Wave: Enterprise Email Security Q2 2021 Joseph Blankenship, Claire O'Malley, April 2021
3. The Forrester Wave: Endpoint Security Software as a Service, Q2 2021, Chris Sherman, May 2021
4. The Forrester Wave: Unified Endpoint Management, Q4 2019, Andrew Hewitt, November 2021
5. 6. The Forrester Wave: Cloud Security Gateways, Q2 2021, Andras Cser, May 2021
7. The Forrester Wave: Identity As A Service (IDaaS) For Enterprise, Q3 2021” Sean Ryan, August 2021
8. The Forrester New Wave: Extended Detection And Response (XDR), Q4 2021, Allie Mellen, October 2021
The Forrester Wave is copyrighted by Forrester Research, Inc. Forrester and Forrester Wave are trademarks of
Forrester Research, Inc. The Forrester Wave is a graphical representation of Forrester’s call on a market and is plotted
using a detailed spreadsheet with exposed scores, weightings, and comments. Forrester does not endorse any vendor,
product, or service depicted in the Forrester Wave. Information is based on best available resources. Opinions reflect
judgment at the time and are subject to change.
The Forrester New Wave is copyrighted by Forrester Research, Inc. Forrester and Forrester Wave are trademarks of
Forrester Research, Inc. The Forrester New Waveis a graphical representation of Forrester’s call on a market.
Forrester does not endorse any vendor, product, or service depicted in the Forrester New Wave. Information is based
on best available resources. Opinions reflect judgment at the time and are subject to change. 18
A leader in 5
other wave
reports
Manage, govern, and secure data in era of AI
Go further by integrating Fabric with Microsoft Purview
Microsoft
Fabric
Manage, govern, and secure your
data locally in Microsoft Fabric with
built-in capabilities
Microsoft
Purview
Employ advanced governance and
security to Microsoft Fabric
Data ownership Simplified administration Unified governance
Go further by integrating Fabric with Microsoft Purview
Microsoft
Fabric
Manage, govern, and secure your
data locally in Microsoft Fabric with
built-in capabilities
Microsoft
Purview
Employ advanced governance and
security to Microsoft Fabric
Data ownership Simplified administration Unified governance
Purpose-built to support different personas
Go further by integrating Fabric with Microsoft Purview
Microsoft Fabric
Data
engineers &
data scientists
Data analysts
Data admins
Business
users
Microsoft Purview
Security &
compliance
officers
Data
stewards &
LoB data
owners
Central
data office
Data
consumers
Designed for data workers Designed for security, governance & compliance offices
Data
consumers
Go further by integrating Fabric with Microsoft Purview
Microsoft Fabric
Data
engineers &
data scientists
Data analysts
Data admins
Business
users
Microsoft Purview
Security &
compliance
officers
Data
stewards &
LoB data
owners
Central
data office
Data
consumers
Designed for data workers Designed for security, governance & compliance offices
Data
consumers
Gain full visibility and control with industry-leading features
Governance and security features built into Microsoft Fabric
Manage your
data estate
Admin portal
Tenant and
workspace settings
Metadata scanning
Capacities
Domains
Workspaces
Secure, protect,
and comply
Fabric inbound and
outbound security
Conditional access
Compute security
Workspace & item
security
Data encryption
Universal security
model*
Certificates &
standards
Data residency
Purview sensitivity
labeling**
Purview Data Loss
Prevention policies**
Purview Audit**
Encourage data
discovery, trust,
and use
OneLake catalog
(Explore tab)
Endorsements
Data lineage &
impact analysis
External data sharing
Metadata curation
Discover & Reuse
Monitor, uncover
insights, and act
OneLake catalog
(Govern tab)
Monitoring hub
Workspace
monitoring
Capacity metrics
Admin monitoring
Purview Hub
Microsoft Purview for estate-wide
governance and protection
Comprehensive data security
Data Loss Prevention
Information Protection
Insider Risk Management
Fabric
metadata
Federated data governance
Data Discovery
Catalog Management
Health Management (Data Quality)
Risk & compliance posture
Purview Audit
Advanced
Govern
and secure
Fabric data
Fabric natively integrated with Microsoft Purview
**Additional Microsoft Purview purchase required
Governance and security features built into Microsoft Fabric
Manage your
data estate
Admin portal
Tenant and
workspace settings
Metadata scanning
Capacities
Domains
Workspaces
Secure, protect,
and comply
Fabric inbound and
outbound security
Conditional access
Compute security
Workspace & item
security
Data encryption
Universal security
model*
Certificates &
standards
Data residency
Purview sensitivity
labeling**
Purview Data Loss
Prevention policies**
Purview Audit**
Encourage data
discovery, trust,
and use
OneLake catalog
(Explore tab)
Endorsements
Data lineage &
impact analysis
External data sharing
Metadata curation
Discover & Reuse
Monitor, uncover
insights, and act
OneLake catalog
(Govern tab)
Monitoring hub
Workspace
monitoring
Capacity metrics
Admin monitoring
Purview Hub
Microsoft Purview for estate-wide
governance and protection
Comprehensive data security
Data Loss Prevention
Information Protection
Insider Risk Management
Fabric
metadata
Federated data governance
Data Discovery
Catalog Management
Health Management (Data Quality)
Risk & compliance posture
Purview Audit
Advanced
Govern
and secure
Fabric data
Fabric natively integrated with Microsoft Purview
**Additional Microsoft Purview purchase required
Microsoft
Purview
Microsoft
Fabric
Apply Global Enterprise Policies mastered in Purview
Fabric Experiences
Purview Experiences
Enterprise Policies
Management
Enterprise Data
Catalog
Enterprise Data
Estate Insights
Local S&C, data management, catalog, and insights experiences
Complementary Experiences
Fabric
Metadata
Purview
Data Map
1 3
Fabric Creators
and Consumers
Enterprise CDO,
Data Producers,
Stewards, and Data
Consumers
1 3
Fabric Policies
Local
Policies
Global Enterprise
Policies
2
Global Enterprise Policies
S&C Policies
MIP, DLP, IRM
Data Mgmt. Policies
Domains, DQ, MDM
Data Use Policies Data Sharing Policies
2
Metadata
Integration
Microsoft Purview + Microsoft Fabric
Purview
Microsoft
Fabric
Apply Global Enterprise Policies mastered in Purview
Fabric Experiences
Purview Experiences
Enterprise Policies
Management
Enterprise Data
Catalog
Enterprise Data
Estate Insights
Local S&C, data management, catalog, and insights experiences
Complementary Experiences
Fabric
Metadata
Purview
Data Map
1 3
Fabric Creators
and Consumers
Enterprise CDO,
Data Producers,
Stewards, and Data
Consumers
1 3
Fabric Policies
Local
Policies
Global Enterprise
Policies
2
Global Enterprise Policies
S&C Policies
MIP, DLP, IRM
Data Mgmt. Policies
Domains, DQ, MDM
Data Use Policies Data Sharing Policies
2
Metadata
Integration
Microsoft Purview + Microsoft Fabric
Govern your entire data estate with Fabric and Microsoft
Purview
23
Search and explore Fabric data assets in the
Purview Data Catalog including the technical
properties, sensitive data classification, and
data lineage
Scan Fabric tenants at no extra cost
and discover data assets across your Fabric
landscape with data discovery, sensitive data
classification, and end-to-end data lineage
Try out Purview easily with no set-up required
with Purview Data Map automatically provisioned
and attached to every Fabric instance by default
Purview
23
Search and explore Fabric data assets in the
Purview Data Catalog including the technical
properties, sensitive data classification, and
data lineage
Scan Fabric tenants at no extra cost
and discover data assets across your Fabric
landscape with data discovery, sensitive data
classification, and end-to-end data lineage
Try out Purview easily with no set-up required
with Purview Data Map automatically provisioned
and attached to every Fabric instance by default
Microsoft Purview hub in Microsoft Fabric
24
A centralized page in Fabric that helps
Fabric administrators and users manage
and govern their Fabric data estate. It
contains reports that provide insights
about sensitive data and item
endorsement, and also serves as a
gateway to more advanced capabilities in
the Microsoft Purview governance and
compliance portals such as Unified
Catalog, Information Protection, Data
Loss Prevention, and Audit.
24
A centralized page in Fabric that helps
Fabric administrators and users manage
and govern their Fabric data estate. It
contains reports that provide insights
about sensitive data and item
endorsement, and also serves as a
gateway to more advanced capabilities in
the Microsoft Purview governance and
compliance portals such as Unified
Catalog, Information Protection, Data
Loss Prevention, and Audit.
Thefoundation for
responsible data innovation
Seamlessly
secure
Data Security
responsible data innovation
Seamlessly
secure
Data Security
…
Security layers in Microsoft Fabric
Network security
Workspace &
item security
Data security
Your data
in Fabric
Regulations &
Certification
Data
Encryption
High Availability &
Disaster Recovery
E2E
Auditability with
Microsoft Purview
Information
protection labels
with Microsoft
Purview
Additional advanced
tools in Microsoft
Purview
3
rd
party and
in-house governance
& security solutions
Security layers in Microsoft Fabric
Network security
Workspace &
item security
Data security
Your data
in Fabric
Regulations &
Certification
Data
Encryption
High Availability &
Disaster Recovery
E2E
Auditability with
Microsoft Purview
Information
protection labels
with Microsoft
Purview
Additional advanced
tools in Microsoft
Purview
3
rd
party and
in-house governance
& security solutions
Purview Data Security & Compliance integration with Fabric
Information protection
sensitivity labels and
protection policies
Classify sensitive Fabric data using
the same sensitivity labels that are
used in Microsoft 365—the label and
protection travels with the data
within Fabric, and enforced even
when the data is exported to Office.
Data loss
prevention policies
Automatically detect sensitive data
such as PII or SSN in
Lakehouse or Semantic Models
and trigger automatic risk
remediation actions such as alerts
or restrict access.
Audit
Log user activities from Microsoft
Fabric in MS Purview Audit to
support security, forensic, and
internal investigations.
Additional Microsoft Purview purchase required
Insider Risk
Management
Ingest audit logs from Fabric in
addition to other millions of signals
to identify potential malicious or
inadvertent insider risk.
Information protection
sensitivity labels and
protection policies
Classify sensitive Fabric data using
the same sensitivity labels that are
used in Microsoft 365—the label and
protection travels with the data
within Fabric, and enforced even
when the data is exported to Office.
Data loss
prevention policies
Automatically detect sensitive data
such as PII or SSN in
Lakehouse or Semantic Models
and trigger automatic risk
remediation actions such as alerts
or restrict access.
Audit
Log user activities from Microsoft
Fabric in MS Purview Audit to
support security, forensic, and
internal investigations.
Additional Microsoft Purview purchase required
Insider Risk
Management
Ingest audit logs from Fabric in
addition to other millions of signals
to identify potential malicious or
inadvertent insider risk.
Demo of Purview
Information Protection
policies in Fabric
Information Protection
policies in Fabric
Data Loss Prevention policies for Lakehouse demo
Demo of Purview Data Loss
Prevention in Fabric
Prevention in Fabric
Demo of DLP
Thefoundation for
responsible data innovation
Confidently
activate
Data Governance
responsible data innovation
Confidently
activate
Data Governance
Manage an org-wide data mesh in Fabric with central & delegated settings
Tenant-wide and granular
control in Admin Portal
Fabric admins can manage
Fabric in one central location
with fine-grained control
while also gain end-to-end
visibility with tenant-wide
reports.
Tenant metadata
scanning
Easily extract information
incl. inventory, item
metadata & lineage for all
items across Fabric, and
connect to 3
rd
party or
homegrown tools.
Manage
capacities
Manage multiple capacities,
each with a distinct pool of
resources to manage cost
at a granular level and get
visibility into capacity
utilization and usage trends.
Domains, subdomains,
workspaces, & folders
Implement a data mesh
pattern by grouping your
items in folders and
workspaces and then in
domains to achieve granular
control & optimized
consumption.
Tenant-wide and granular
control in Admin Portal
Fabric admins can manage
Fabric in one central location
with fine-grained control
while also gain end-to-end
visibility with tenant-wide
reports.
Tenant metadata
scanning
Easily extract information
incl. inventory, item
metadata & lineage for all
items across Fabric, and
connect to 3
rd
party or
homegrown tools.
Manage
capacities
Manage multiple capacities,
each with a distinct pool of
resources to manage cost
at a granular level and get
visibility into capacity
utilization and usage trends.
Domains, subdomains,
workspaces, & folders
Implement a data mesh
pattern by grouping your
items in folders and
workspaces and then in
domains to achieve granular
control & optimized
consumption.
Easily discover, manage, and collaborate on org data
OneLake
catalog
Centrally Find, explore, and
use relevant Fabric data
items in your organization.
Data hub Pervasive across
Fabric as well as in Teams,
Excel and more.
Endorsements
& tags
Endorse trusted
high-quality items in Fabric
and apply relevant tags to
create curated sources of
truth and increase
discoverability and reuse.
Lineage &
impact analysis
Track data lineage of
your analytical projects
to see how data flows
through items and perform
impact analysis to assess
impact of changes.
External
data sharing
Share data and assets
with external organizations
from OneLake storage
locations without copying
the data.
OneLake
catalog
Centrally Find, explore, and
use relevant Fabric data
items in your organization.
Data hub Pervasive across
Fabric as well as in Teams,
Excel and more.
Endorsements
& tags
Endorse trusted
high-quality items in Fabric
and apply relevant tags to
create curated sources of
truth and increase
discoverability and reuse.
Lineage &
impact analysis
Track data lineage of
your analytical projects
to see how data flows
through items and perform
impact analysis to assess
impact of changes.
External
data sharing
Share data and assets
with external organizations
from OneLake storage
locations without copying
the data.
OneLake catalog
Complete catalog for data discovery, governance & insights in Fabric
Unified view of org data estate
to boost discovery &collaboration on data,
processes, insights, and AI.
Easily explore & manage your data in place incl’
lineage, metadata, sensitivity, permissions, and
more.
Effectively govern data at scale by gaining
insights on data, recommended actions, and
available tooling.
Integrated directly into Microsoft 365, Microsoft
Copilot Studio, and Azure Portal.
General Availability
Complete catalog for data discovery, governance & insights in Fabric
Unified view of org data estate
to boost discovery &collaboration on data,
processes, insights, and AI.
Easily explore & manage your data in place incl’
lineage, metadata, sensitivity, permissions, and
more.
Effectively govern data at scale by gaining
insights on data, recommended actions, and
available tooling.
Integrated directly into Microsoft 365, Microsoft
Copilot Studio, and Azure Portal.
General Availability
Demo of OneLake catalog
Demo of OneLake catalog
Purview Data Governance
Confidently activate data across the digital estate
Comprehensive visibility
across the data estate with
a global catalog of catalogs
Data confidence via built-in
data quality, lineage, and
master data management
Responsible innovation with
easy discovery of trusted
data and access control
Unified Catalog
Catalog
Curation + Access
Global Enterprise
Policies
Data Quality
Management
Data Health
Management
Master Data
Management
Local Catalogs
OneLake
Catalog
Azure Databricks
Unity Catalog
Snowflake
Polaris
…
Data Sources
Microsoft
Fabric
Azure
Databricks
Snowflake Azure
Data
Azure AI Google
Big Query
S3
Confidently activate data across the digital estate
Comprehensive visibility
across the data estate with
a global catalog of catalogs
Data confidence via built-in
data quality, lineage, and
master data management
Responsible innovation with
easy discovery of trusted
data and access control
Unified Catalog
Catalog
Curation + Access
Global Enterprise
Policies
Data Quality
Management
Data Health
Management
Master Data
Management
Local Catalogs
OneLake
Catalog
Azure Databricks
Unity Catalog
Snowflake
Polaris
…
Data Sources
Microsoft
Fabric
Azure
Databricks
Snowflake Azure
Data
Azure AI Google
Big Query
S3
Govern and Activate your Multi-cloud Data Estate with Purview Data
Governance
Data
Discovery
Discover, understand, and request
access to data containing Fabric data and
non-Fabric data in the Purview Unified
catalog; leverage built-in Security
Copilots to get work done faster.
Catalog
Management
Organize, curate, and manage access
to your entire data estate (including
Fabric data) using logical, business-
friendly vernacular your business
stakeholders will understand; integrate
your Master data management
entities into your managed data estate
(via 3
rd
party plug-ins).
Health
Management (Data Quality)
Manage, monitor, and improve data
quality and overall data health across
your enterprise, multi-cloud data estate
(including Fabric data); develop your own
Purview reports and/or activate estate
cleanup actions using BYOC Fabric
integration.
Governance
Data
Discovery
Discover, understand, and request
access to data containing Fabric data and
non-Fabric data in the Purview Unified
catalog; leverage built-in Security
Copilots to get work done faster.
Catalog
Management
Organize, curate, and manage access
to your entire data estate (including
Fabric data) using logical, business-
friendly vernacular your business
stakeholders will understand; integrate
your Master data management
entities into your managed data estate
(via 3
rd
party plug-ins).
Health
Management (Data Quality)
Manage, monitor, and improve data
quality and overall data health across
your enterprise, multi-cloud data estate
(including Fabric data); develop your own
Purview reports and/or activate estate
cleanup actions using BYOC Fabric
integration.
Demo of Purview Unified
Catalog
Catalog
Demo of Purview Unified Catalog across the data
estate
estate
Rabobank case study
We needed to precisely identify which
Microsoft 365 productivity applications
should be classified for internal or external
use. Using a container label to differentiate
permissions meant users could access a
single document within a team or
SharePoint site and the same users could not
accidentally stumble upon confidential
documents, a key element of the Microsoft
Purview Information Protection solution
that we couldn’t get from any other solution
on the market.”
Usman Abubakar Ehimeakhe
Assistant Director, Technical Lead of EY
Microsoft 365 Services
EY
Protect data throughout
its lifecycle
We needed to precisely identify which
Microsoft 365 productivity applications
should be classified for internal or external
use. Using a container label to differentiate
permissions meant users could access a
single document within a team or
SharePoint site and the same users could not
accidentally stumble upon confidential
documents, a key element of the Microsoft
Purview Information Protection solution
that we couldn’t get from any other solution
on the market.”
Usman Abubakar Ehimeakhe
Assistant Director, Technical Lead of EY
Microsoft 365 Services
EY
Protect data throughout
its lifecycle
St. Luke’s case study
Managing insider risks
while preserving
employee privacy
Thanks to Insider Risk Management from
Microsoft, our HR team can jump in before
we suffer a catastrophic issue. We rely on its
synergy with our other Microsoft Security
and Compliance solutions to be much more
proactive and boost compliance.”
David Finkelstein
CISO
St. Luke’s University
43
Managing insider risks
while preserving
employee privacy
Thanks to Insider Risk Management from
Microsoft, our HR team can jump in before
we suffer a catastrophic issue. We rely on its
synergy with our other Microsoft Security
and Compliance solutions to be much more
proactive and boost compliance.”
David Finkelstein
CISO
St. Luke’s University
43
ELT layout
Rabobank case study
Avoiding data loss
beyond the perimeter
Moving from Symantec to Microsoft
Purview Data Loss Prevention was an
important step forward for us. Now we’re
able to offer the tools that our business-
side colleagues need to control the data
that’s ultimately their responsibility.”
Edo Immink
IT Lead
Rabobank
Rabobank case study
Avoiding data loss
beyond the perimeter
Moving from Symantec to Microsoft
Purview Data Loss Prevention was an
important step forward for us. Now we’re
able to offer the tools that our business-
side colleagues need to control the data
that’s ultimately their responsibility.”
Edo Immink
IT Lead
Rabobank
Microsoft Purview Data Governance Business Model and Pricing
Principles Practice Pricing
Fair Market Value
Pay for value gained
Consumption based
Pay for what you use
Customer in control
Practice responsible governance
Transparent and Explainable
Understand what you are paying for
Data Estate Data Catalog
Data Curation, Discovery, and
Governed access
$0.50 per Unique Governed Asset
per Month
Data Management
Data Quality, Health Controls
$ per DM Processing Unit
Basic : $15 per processing unit
Standard : $60 per processing unit
Advanced : $240 per processing unit
Multi-Cloud Data Estate
Asset Map
(No $, subsumed)
Governed Assets ($)
Durable
Scales for future capabilities and value
Principles Practice Pricing
Fair Market Value
Pay for value gained
Consumption based
Pay for what you use
Customer in control
Practice responsible governance
Transparent and Explainable
Understand what you are paying for
Data Estate Data Catalog
Data Curation, Discovery, and
Governed access
$0.50 per Unique Governed Asset
per Month
Data Management
Data Quality, Health Controls
$ per DM Processing Unit
Basic : $15 per processing unit
Standard : $60 per processing unit
Advanced : $240 per processing unit
Multi-Cloud Data Estate
Asset Map
(No $, subsumed)
Governed Assets ($)
Durable
Scales for future capabilities and value
Data Catalog Pricing for Governed Assets
Multi-Cloud Data Estate
Governed Assets
▪Assets attached to Data Products and/or Critical Data
Elements (and other future governance constructs)
▪Assets decorated with governance attributions and
policies (glossary terms, custom attributes, self-serve
access policies, other future)
▪$0.50 per Unique Governed Asset Per Month
▪Data curation capabilities for data stewards
▪Self-serve data discovery and access capabilities
for data consumers
Asset Map
(No $, subsumed)
Governed Assets ($)
Dimension Input
(A) # of Domain Data Products (DP)
and Critical Data Elements (CDEs)
<Customer Input>
(B) Average # of Data Assets Per
DP/CDE
<Customer input>
(C) % or # of Data Assets referenced
by multiple DPs/CDEs
<Customer input>
(D) Price per unique data asset $0.50 per month
Monthly Governed Assets Bill ((A * B) – C) * D
Multi-cloud Tables, Files, Datasets, Reports, Dashboards, Models etc.
▪Data Assets scanned into the Asset Map
▪Scanning costs subsumed by MS Purview
Dimension Input
(A) # of Assets in Data
Estate
Data Map Scan
(B) % of Governed
Assets
<Customer input>
(C) Price per unique
data asset
$0.50 per month
Monthly Governed
Assets Bill
(B * A) * C
Multi-Cloud Data Estate
Governed Assets
▪Assets attached to Data Products and/or Critical Data
Elements (and other future governance constructs)
▪Assets decorated with governance attributions and
policies (glossary terms, custom attributes, self-serve
access policies, other future)
▪$0.50 per Unique Governed Asset Per Month
▪Data curation capabilities for data stewards
▪Self-serve data discovery and access capabilities
for data consumers
Asset Map
(No $, subsumed)
Governed Assets ($)
Dimension Input
(A) # of Domain Data Products (DP)
and Critical Data Elements (CDEs)
<Customer Input>
(B) Average # of Data Assets Per
DP/CDE
<Customer input>
(C) % or # of Data Assets referenced
by multiple DPs/CDEs
<Customer input>
(D) Price per unique data asset $0.50 per month
Monthly Governed Assets Bill ((A * B) – C) * D
Multi-cloud Tables, Files, Datasets, Reports, Dashboards, Models etc.
▪Data Assets scanned into the Asset Map
▪Scanning costs subsumed by MS Purview
Dimension Input
(A) # of Assets in Data
Estate
Data Map Scan
(B) % of Governed
Assets
<Customer input>
(C) Price per unique
data asset
$0.50 per month
Monthly Governed
Assets Bill
(B * A) * C
Data Management Processing Unit Pricing
Governed Assets
Data Management
DM Processing Unit
Data
Quality
Health
Controls
▪Data management processing is high value compute for data
management workloads : data quality, health controls, future data
management capabilities.
▪Data management compute utilization dimensions and variability
▪Customer data volumes
▪Complexity of data management rules and policies
▪Physical topology of customer data estate (clouds and data clouds
used, on-premise infra, networking, geo locations and residency
requirements)
▪Purview DG Data Management Processing Unit = 60 minutes of data
management capacity (compute, storage, network I/O), metered and
billed at grain of hours and minutes utilized.
▪3 SKUs to start with increasing speed and parallelism
▪Basic : $15 per processing unit
▪Standard : $60 per processing unit
▪Advanced : $240 per processing unit
Other
Future
Governed Assets
Data Management
DM Processing Unit
Data
Quality
Health
Controls
▪Data management processing is high value compute for data
management workloads : data quality, health controls, future data
management capabilities.
▪Data management compute utilization dimensions and variability
▪Customer data volumes
▪Complexity of data management rules and policies
▪Physical topology of customer data estate (clouds and data clouds
used, on-premise infra, networking, geo locations and residency
requirements)
▪Purview DG Data Management Processing Unit = 60 minutes of data
management capacity (compute, storage, network I/O), metered and
billed at grain of hours and minutes utilized.
▪3 SKUs to start with increasing speed and parallelism
▪Basic : $15 per processing unit
▪Standard : $60 per processing unit
▪Advanced : $240 per processing unit
Other
Future
Data Management Processing Unit Pricing
Data Quality Management Pricing Illustration
*Data Quality Rule Data Source # Data rows Basic SKU PUs Standard SKU PUs Advanced SKU PUs
Duplicate rows
Empty / blank / null fields
Unique values
Data type match
String format match
Table lookup
Custom Rules Will vary by customer and complexity. To implement contextual PUs utilization projection capability in product post GA
**Total Processing Units Utilized Per Run TPUs TPUs TPUs
Price per Processing Unit $15 $60 $240
**Total $ Per Run TPUs * $15 TPUs * $60 TPUs * $240
User Inputs Projected PUs utilization
▪* To expand over time to incorporate future OOB DQ rules. Team to build similar illustration for OOB Data Health Controls.
▪** $ projections per DQ job run. Overall $ will factor in total number of runs for a billing period.
Data Quality Management Pricing Illustration
*Data Quality Rule Data Source # Data rows Basic SKU PUs Standard SKU PUs Advanced SKU PUs
Duplicate rows
Empty / blank / null fields
Unique values
Data type match
String format match
Table lookup
Custom Rules Will vary by customer and complexity. To implement contextual PUs utilization projection capability in product post GA
**Total Processing Units Utilized Per Run TPUs TPUs TPUs
Price per Processing Unit $15 $60 $240
**Total $ Per Run TPUs * $15 TPUs * $60 TPUs * $240
User Inputs Projected PUs utilization
▪* To expand over time to incorporate future OOB DQ rules. Team to build similar illustration for OOB Data Health Controls.
▪** $ projections per DQ job run. Overall $ will factor in total number of runs for a billing period.
ELT layout
Training and Demo Resources
Da ta a nd A I Demo M a p F ortify y our da ta with M icrosoft
Purv iew
Purv iew M a stercla ss M odern A na ly tics A ca demy - Da ta
Gov erna nce
Data and AI Demo Map – Customer
DREAM Demo for Microsoft Purview
Fortify your data with Microsoft
Purview – This hands-on workshop is
available on-demand
Purview Masterclass – A template to
delivering a 1 to 3-day workshop
around Microsoft Purview
Modern Analytics Academy - Data
Governance – Compiled presentation
and tutorials
Training and Demo Resources
Da ta a nd A I Demo M a p F ortify y our da ta with M icrosoft
Purv iew
Purv iew M a stercla ss M odern A na ly tics A ca demy - Da ta
Gov erna nce
Data and AI Demo Map – Customer
DREAM Demo for Microsoft Purview
Fortify your data with Microsoft
Purview – This hands-on workshop is
available on-demand
Purview Masterclass – A template to
delivering a 1 to 3-day workshop
around Microsoft Purview
Modern Analytics Academy - Data
Governance – Compiled presentation
and tutorials
THANK YOU!
Microsoft Customer
Connection Program
Microsoft Purview Partner
Training Resources
Microsoft Purview
MS Learn Documentation
Try Microsoft
Fabric
Try Purview
Unified Catalog
Try Purview
Data Security
Microsoft Customer
Connection Program
Microsoft Purview Partner
Training Resources
Microsoft Purview
MS Learn Documentation
Try Microsoft
Fabric
Try Purview
Unified Catalog
Try Purview
Data Security
52
Discover Lakehouse data and govern your entire data estate with
Microsoft Purview + Databricks
Microsoft
Purview
Data security and governance
for the era of AI
Bringing AI to your data
▪Databricks Unity Catalog for Lakehouse
▪Local data catalog and management for the Lakehouse
data
▪Professionally trained data engineers, data scientists,
and data analysts.
▪Purview DG for Multi-cloud, multi-source data
estate
▪Global data security and governance, integrated
for business and regulatory req.
▪Purpose-built for federated governance across
org-wide roles.
Discover Lakehouse data and govern your entire data estate with
Microsoft Purview + Databricks
Microsoft
Purview
Data security and governance
for the era of AI
Bringing AI to your data
▪Databricks Unity Catalog for Lakehouse
▪Local data catalog and management for the Lakehouse
data
▪Professionally trained data engineers, data scientists,
and data analysts.
▪Purview DG for Multi-cloud, multi-source data
estate
▪Global data security and governance, integrated
for business and regulatory req.
▪Purpose-built for federated governance across
org-wide roles.
Databricks and Microsoft Purview
Metadata Integration
Apply Global
Enterprise Policies
mastered in Purview
Complementary
Experiences
Enterprise CDO, Data Producers,
Stewards, and Data Consumers
Microsoft Purview
Discover
Purview Experiences
*Enterprise
Policies
Management
Enterprise
Unified Catalog
Enterprise Data
Estate Insights
Global Enterprise Policies
Security Protection
Label, Classify
*Data Mgmt. Policies
Domains, DQ, MDM
*Data Use Policies
*Security Policies
DLP, IRM
1
3
2
Creators and Consumers
Databricks
Databricks
Metadata
Unity Catalog
*Local Workspaces
*Local Policies
Databricks Policies
*Local Workspaces
1
3
2
Scan Basics
*Scan Depth
Metadata, Lineage
*Coming soon
Metadata Integration
Apply Global
Enterprise Policies
mastered in Purview
Complementary
Experiences
Enterprise CDO, Data Producers,
Stewards, and Data Consumers
Microsoft Purview
Discover
Purview Experiences
*Enterprise
Policies
Management
Enterprise
Unified Catalog
Enterprise Data
Estate Insights
Global Enterprise Policies
Security Protection
Label, Classify
*Data Mgmt. Policies
Domains, DQ, MDM
*Data Use Policies
*Security Policies
DLP, IRM
1
3
2
Creators and Consumers
Databricks
Databricks
Metadata
Unity Catalog
*Local Workspaces
*Local Policies
Databricks Policies
*Local Workspaces
1
3
2
Scan Basics
*Scan Depth
Metadata, Lineage
*Coming soon
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Categories
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