SAP Datasphere Course at Top Institutes in Hyderabad
                     A beginner-friendly guide to 
SAP Datasphere protecting data in the cloud
Security • Audience: beginners and aspiring data professionals
Features • Focus: roles, access controls, protection, and 
auditing
Explained with • Format: concepts, workflow, use cases, and careers
Key Benefits • Training partner: Visualpath
www.visualpath.in +91 7032290456
02
Introduction • Security protects business data from misuse, loss, and 
exposure
• SAP Datasphere offers built-in controls for access and 
protection
• Different teams share one platform, so boundaries matter
• Strong security builds trust in data and analytics
• This session covers concepts, setup, tools, and benefits
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03
Core • Authentication: confirming who the user is
Concepts
• Authorization: deciding what each user may do
• Data access control: limiting which rows a user can see
• Isolation: spaces keep team data and resources separate
• Encryption: protects data while stored and while moving
• Auditing: records who did what, and when
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04
Key • Users and roles: define identities and their permissions
Components • Scoped roles: give permissions only within chosen spaces
• Data access controls: row-level rules based on user 
attributes
• Space settings: manage members and sharing between 
spaces
• IP allowlist: restrict access to approved network addresses
• Audit and activity logs: track changes and data reads
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05
How It Works • Step 1: Connect a trusted identity provider for single sign-
on
• Step 2: Create users, or import them from the provider
• Step 3: Assign roles that match job responsibilities
• Step 4: Scope roles to the right spaces
• Step 5: Define data access controls for sensitive data
• Step 6: Review audit logs on a regular schedule
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Tools and • Security area: manage users, roles, and authorizations
Technologies • Space Management: control members, storage, and sharing
• Data access control editor: build row-level permission rules
• SAP Cloud Identity Services: support single sign-on and sign-in 
policies
• Audit and activity logs: review changes and data access
• Cloud Connector and agents: secure links to on-premise 
systems
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07
Real-World • Finance: only authorized staff see sensitive ledger data
Use Cases • HR: managers see their own team, not all employees
• Sales: regional managers view only their region's results
• Healthcare: restrict personal data and keep audit trails
• Example: one sales model, filtered automatically for each 
user
• Example: audit logs reviewed after an unexpected data 
change
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08
Benefits and • Benefit: sensitive data is visible only to approved users
Challenges • Benefit: one model can serve many audiences safely
• Benefit: audit trails support compliance and investigations
• Challenge: role design can become complex without clear 
planning
• Challenge: access needs regular review as people change roles
• Challenge: too many exceptions make rules hard to maintain
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Career • Roles: SAP security consultant, data governance analyst, 
Opportunitie cloud administrator
s and Future • Skills: roles design, SQL, identity concepts, and privacy rules
Trends • Demand: high as data privacy rules and cloud use grow
• Outlook: security built into data products and sharing
• Trend: zero trust thinking and least-privilege access
• Trend: AI governance and stronger data privacy controls
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10
Summary 
and • Security in Datasphere works in layers, not a single control
Conclusion • Roles and scoped roles decide who can do what
• Data access controls decide which rows each user sees
• Logs and regular reviews keep access safe over time
• Plan simply, and apply least privilege from the start
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For More Information 
About
SAP Datasphere
Contact Us
Address:- Flat no: 205, 2nd Floor,
   Nilagiri Block, Aditya Enclave,  Ameerpet, Hyderabad-16
   Ph. No: +91-7032290546
  www.visualpath.in
    [email protected]
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