4. Microsoft Graph
Office 365 Windows 10 Enterprise Mobility + Security
Microsoft Graph
data connect
Microsoft Graph
REST APIs and webhooks
Documents Conversations Portals Timeline
Extend Microsoft 365 experiences
Web
apps
Bots &
agents
Device
& native
Workflow
automation
Build your experience
Connectors
Microsoft Identity
Azure AI platformYour local data
Search
Analytics
apps
5. Microsoft Graph
Office 365 Windows 10 Enterprise Mobility + Security
Microsoft Graph
data connect
Microsoft Graph
REST APIs and webhooks
Documents Conversations Portals Timeline
Extend Microsoft 365 experiences
Web
apps
Bots &
agents
Device
& native
Workflow
automation
Build your experience
Connectors
Microsoft Identity
Azure AI platformYour local data
Search
Analytics
apps
6. A new class of analytics & insight applications are emerging
…
Adobe Sign
7. estimated additional
revenue/shifting revenue
driven by AI in three years
Interpret business and
customer data including text,
docs, images, video, voice
Remove technology barriers
with customers and multiply
employee capabilities
Leverage your unique
data and augment your business
in new, unimaginable ways
8. Drive change programs
to adopt M365
Automate knowledge
base creation
Optimize
operations
Empower
employees
Customized employee
training
Identify skills gaps in
your org
Effectiveness of D&I
training
Engage
customers
Opportunity health
analysis
Connect me to an
expert
Transform
products
Organization data
management
Automate legal case
billing
Build product Q&A
and FAQs
9. Unlock valuable insights in hours
Decision makers
Insights
apps
Power BI
Create self-service
customization
Business analysts
Harness full AI tool suites
and frameworks
Developers
Anyone can develop custom insights using key organizational data
Workplace
Analytics
Microsoft Graph Data Connect
Now Generally Available as a
part of Workplace Analytics
11. Data access @ scale
Dataset based access rather than
real time API based access
Data Privacy
Row and column level scoping
with advanced filtering capability
Data Governance &
Security
Data controller has visibility over
data throughout its entire
lifecycle
Secure data platform enabling Analytics and Insights for Microsoft 365
13. Data pipeline
- Dataset based access to Microsoft 365 data supporting access to entire tenant at a time
- Recurring scheduled and ad-hoc access to data (supports highly flexible scheduling)
- Enabled via Azure Data Factory that integrates with Azure analytics & big data processing tools
Available datasets
- Email dataset
- Email folder dataset
- Calendar event dataset
- Contact dataset
- Mailbox setting dataset
https://docs.microsoft.com/en-us/azure/data-factory/load-office-365-data
Microsoft 365 Data access@ scale for analytics and AI
14. * users cannot consent to high privilege permissions; admins can turn off the ability for users to consent
** resource type = mail, calendar, people, files, etc.
APIs Data connect
Access Scope Single user or entire tenant Many users or groups or entire tenant
Access Pattern Realtime Recurrent schedule
Data Operations Operates on data master Operates on a cache of the data
Data Protection
Data is protected while in
Microsoft 365
Data protection is extended to the cache of data
in customer’s Azure subscription
Who Can Consent User* or Administrator Administrator only with additional consent
Permissions
Granularity
Signed-in user or tenant-wide
Resource Types**
Select groups of users
Resource types** + properties
Exclude users
Access Tools RESTful web queries Azure Data Factory
15. Your data is
your data
Transparent
Operations
No one can use your data
without explicit consent
Exclude your most sensitive
users’ data
You know what applications are
using what data
Only data required by the
application is accessible
Privacy by
design
Scoped
filtering
Definethe scopeof the Microsoft 365 tenant datarequiredfor application development
16. - Microsoft 365 data is stored, processed,
and accessed within the customer’s
Azure tenancy
- Continuous policy monitoring for
certain policies
- Any data policy violation stops the flow
of data to the Azure resources
Havecompletecontrol and visibility overyour Microsoft 365 tenant datain Azure
17. - Approve/deny data access requests by
app
- User and group scoping grants
applications access to specific users or
groups
- Deny list – remove data from specific
users
- Access scoping lets apps scope access
to specific properties from a data set
18.
19. tyGraph: Get the right contact
information to everyone
Harmon.ie: Work by topics, not
by applications
Limeade: Develop managers to
use more engaging practices
TalentSoft: Keep employee skills
up-to-date for starting new
projects
• Scan and archive only the important data
• Find and destroy potential data loss
avenues
• Recommend more friendly language use
• Help users discover all their data
• Find your company’s best experts on any
topic
• Learn best practices for your business
processes
• Monitor roll-out of new technology
• Determine which training programs are
effective
• Identify best salesperson practices
• Train your website’s bot
• Build a database of knowledge from retiring
workers
24. harmon.ie
harmon.ie Topics is an app that presents knowledge workers with
information from Office 365 apps, organized by familiar topics like names
of products, projects, services, or customers. Until now, workers accessed
work content via disparate apps; documents in SharePoint, One Drive,
Teams, or as email attachments; emails in Outlook, events in Calendar,
and so on. But this is alien to how we think. Because what we think about
are business topics like customers, products, and services. harmon.ie
Topics, for the first time, categorizes Office 365 information the way we
think, by topics, so we can focus on what matters most, our business.
As an Azure managed app, harmon.ie Topics essentially leverages
Microsoft technologies like the Microsoft Graph to securely connect the
Azure and Microsoft 365 clouds in order to present prescriptive insights,
like what to work on next, to knowledge workers.
First, harmon.ie Topics analyze workers’ emails securely on the customer’s
Microsoft tenant using natural language processing (NLP). To uncover
business topics. Then it uses machine learning and sophisticated
algorithms and the Microsoft Graph to score topics in order to surface
relevant and contextual information to each individual knowledge worker.
Harmon.ie Topics is uniquely tuned to help workers tasked with email and
document retention tasks, by helping identify which emails should be
saved to SharePoint for storage. It then helps workers select the
appropriate storage location and the appropriate metadata.
25. ServeStore Prep and trainIngest
Organizational data
Streaming data
Azure Kubernetes
service
Power BI
Azure analysis
services
Azure SQL data
warehouse
Cosmos DB, SQL DB
Azure Data Lake Storage
Azure Data Factory
Azure Event
Hubs
Azure Databricks
Azure Machine
Learning service
Apps
Model Serving
Ad-hoc Analysis
Operational
Databases
Privileged Access
Management
27. Data Integration Service: Serverless, Scalable, Hybrid
Hybrid Pipeline Model
Seamlessly span: on prem, Azure, other clouds & SaaS
Run on-demand, scheduled, data-availability or on event
Data Movement @Scale
Cloud & Hybrid w/ 75+ connectors provided
Up to 1 GB/s
SSIS Package Execution
Lift existing SQL Server ETL to Azure
Use existing tools (SSMS, SSDT)
Author & Monitor
Programmability w/ multi-language SDK
Visual Tools
Azure
28.
29. • Data cleansing, transformation, aggregation, conversion, etc.
• Cloud scale via Spark execution
• Easily build resilient data flows
30. A “no-compromises” Data Lake: secure, performant, massively-scalable Data Lake storage that brings the cost and
scale profile of object storage together with the performance and analytics feature set of data lake storage
No limits on
data store size
Global footprint
(50 regions)
Optimized for Spark
and Hadoop
Analytic Engines
Tightly integrated
with Azure end to
end analytics
solutions
Automated
Lifecycle Policy
Management
Object Level
tiering
Support for fine-
grained ACLs,
protecting data at the
file and folder level
Multi-layered
protection via at-rest
Storage Service
encryption and Azure
Active Directory
integration
Atomic file
operations
means jobs
complete faster
High
throughput
Object store
pricing levels
File system
operations
minimize
transactions
required for job
completion
31. Azure Blob Storage Azure Data Lake Store
Azure Data Lake Storage Gen2
Global scale – All Azure regions
Full BCDR capabilities
Tiered - Hot/Cool/Archive
Cost Efficient
Large partner ecosystem
Built for Hadoop
Hierarchical namespace
ACLs, AAD and RBAC
Performance tuned for big data
Very high scale capacity and throughput
32. Object Tiering and Lifecycle Policy
Management
AAD Integration, RBAC, Storage
Account Security
HA/DR support through ZRS and
RA-GRS
Blob Storage
HIERARCHICAL FILE SYSTEM
Security
Performance
Enhancements
Blob API
Scale and Cost
Effectiveness
ADLS API
Data Governance and
Management
33. Fast, easy, and collaborative Apache Spark™-based analytics platform
Built with your needs in mind
Role-based access controls
Effortless autoscaling
Live collaboration
Enterprise-grade SLAs
Best-in-class notebooks
Simple job scheduling
Seamlessly integrated with the Azure Portfolio
Increase productivity
Build on a secure, trusted cloud
Scale without limits
36. Data access @ scale
Dataset based access rather than real time
API based access
Data Privacy
Row and column level scoping with
advanced filtering capability
Data Governance & Security
Data controller has visibility over data
throughout its entire lifecycle
Secure data platform enabling Analytics and Insights for Microsoft 365