The document discusses Microsoft's strategies for application modernization and digital transformation through cloud technologies, emphasizing the importance of data and AI in enhancing business performance. It highlights various organizations' success stories leveraging Microsoft Azure for seamless migrations, scalability, and real-time processing, ultimately leading to improved customer engagement and operational efficiency. The content also outlines the benefits of the Azure ecosystem, including productivity gains, cost savings, and enhanced security measures.

1. Win Apps - Accelerating Digital Transformation
with Application Modernization + Innovation
David J. Rosenthal
VP & GM
Razor Technology
March 22, 2018
Microsoft Technology Center, New York City

2. The world is changing

3. Today, 80% of
organizations
adopt cloud-first
strategies
AI investment
increased by
300% in 2017
Data will grow to
44 ZB in 2020

4. Today, 80% of
organizations
adopt cloud-first
strategies
AI investment
increased by
300% in 2017
Data will grow to
44 ZB in 2020 C LO U D A IDATA

5. C LO U D
DATA A I
Organizations that harness data,
cloud, and AI outperform

6. 90% 50% 60B
Productivity
5x
Mobility Intelligence
50%+ $100M
Digital transformation with data

7. Microsoft’s comprehensive hybrid story, which spans
applications and platforms as well as infrastructure, is highly
attractive to many companies, drawing them towards the
cloud in general.
“

8. T H E M O D E R N
D A T A E S T A T E
Security and PerformanceFlexibility of choiceReason over any data, anywhere
Data warehouses
Data lakes
Operational databases
HYBRID
On-premises
Private cloud
Cloud
Data warehouses
Data lakes
Operational databases

9. T H E M O D E R N
D A T A E S T A T E
Security and performanceFlexibility of choiceReason over any data, anywhere
Azure data services
Data warehouses
Operational databases
AI built-in
R
Any language, any
platform, anywhere
JAVA
Microsoft’s cloud solution
Data lakes
2x the global reach
70% faster than competition <10ms latency SLAs
99.9% SLA
More certifications
than any other cloud
Azure SQL Database Azure Cosmos DB
Azure SQL Data Warehouse
Azure Data Lake, HDInsight

10. A P P M O D E R N I Z A T I O N T O C L O U D
Optimize IT
Lift + shift tactical apps
to cloud to reduce cost
Transform customer experiences
Migrate and reimagine apps
that matter to your business
Source: IDC White Paper | The Business Value of Microsoft Azure SQL Database Services
(http://download.microsoft.com/download/A/1/D/A1D5C24B-284A-4F9C-B121-E6E5FDAB1B94/IDC-Azure-SQL-DB-Value-2015.pdf)
406%
Five-year ROI
53%
Less expensive than
on-prem/hosted
98%
Less database
downtime
100T
Transactions per
day on Jet.com
100M
Customers supported
worldwide with Citrix
450M
Fans get real-time
experiences with Real Madrid

11. Azure Database
Migration Ser vice
Azure SQL Database
Azure Cosmos DB with MongoDB API
Azure Database for MySQL
Azure Database for PostgreSQL
SQL Ser ver
OSS databases
Seamless and reliable migration at scale
Lift and shift to the cloud with
no code changes
Modernize across SQL Server,
PostgreSQL, MySQL and MongoDB
Maximize current on-premises
license investments for Azure SQL
Database—save 33% over AWS
L I F T + S H I F T A N D T R A N S F O R M

12. K E Y S C E N A R I O S TO D AY ’ S R E Q U I R E M E N T S

13. Real-time
experiences
Artificial
Intelligence (AI)Transactional
Big data
processing
TRANSFORM YOUR APPS WITH DATA + AI
Drive business requirements
with Azure backed by SQL-
based innovation
Engage customers with planet-
scale apps that deliver real-time
experiences
Grow your business by transforming
to software-as-a-service; accelerate
innovations to customers
Gain insights with high-processing
workloads and analytics
Transform apps by increasing
customer engagement through
chatbots and human-like
intelligence
SaaS
apps
Modernize on-premises applications
to take advantage of latest
innovation
On-prem
apps

14. Scenario
Thomson Reuters tasked with building a highly extensible and scaling
system for their eBillingHub solution to keep up with growth—
transacting 4.5 million invoices a year.
Solution
Migrated SQL-based app to Azure with seamless database migration—
easy to scale databases on-demand. Reimagined app for serverless
architecture—augment SQL DBs with Azure Cosmos DB collections
supporting various microservices.
Built real-time data processing pipeline and uses machine learning to
analyze the data to gain better insight into market behavior.
System can now validate 28,000 invoices in 2 hours, which previously
took 2 days.
Thomson Reuters is
scaling with Azure

15. Scenario
ASOS needed an app that could scale to meet seasonal demand and
use customer data to better serve their needs. Migrated their SQL-
based commerce platform to Azure.
Solution
Reimagined to a microservices architecture. Azure SQL Database
underpins many of their key microservices for retail—helping enable
167 million requests in 24 hours on Black Friday while Geo-replication
ensures data is protected and available.
Expanded commerce platform to include real-time personalization
using Azure Cosmos DB—storing and retrieving precalculated user
profiles and product machine learning models to generate real-time
recommendations for 15 million customers.
Real-time analytics enabled with cold path using Azure Event Hub,
Azure Data Lake Store, and HDInsight + Spark combined with a hot
path using Service Fabric and Azure Cosmos DB with Data Factory to
schedule jobs for refreshing persisted models.
ASOS is winning customers
with Azure

16. Scenario
Business growth across regions demanded scalable platform while
leveraging existing SQL Server investments.
Low-latency performance, ‘always on’ implementation, and end-to-end
data security across on-premises and cloud.
Solution
Azure offers them infinite scale and data movement flexibility with
serverless computing.
Leverage Azure Cosmos DB to drive 99.99% uptime and millisecond
performance during peak periods across Australia, Europe and APAC—
resilient to regional issues.
Data fed into on-premises SQL Server data warehouse with Power BI
reporting
Domino’s Pizza scales globally
with hybrid solution

17. Scenario
Online retail looking to always present the best market price available
across 31 million products.
Scalable and integrated cloud + data environment to support
innovative pricing strategies.
Solution
Built from zero to full-fledged commerce marketplace in 12 months.
Leveraging Azure Cosmos DB, Jet.com can scale across multiple regions
processing 100 trillion transactions per day.
With HDInsight and SQL Data Warehouse they can runs thousands of
analytical queries per day over tens of billions of records—about 20TB
of data to monitor price history and market dynamics—adjusting prices
real-time and offering real-time recommendations.
Jet.com leads with real-time
pricing and recommendations

18. Scenario
UPS manages more than 192 million customer-tracking
requests each day
UPS wanted to create a customer service bot that would
engage with customers
Solution
Using Azure, the UPS bot was able to be deployed quickly and
efficiently before the busy holiday shipping season
Application insights, blob storage, and encryption for data at
rest all powered the UPS bot
Available through Facebook Messenger, Skype and Amazon
platforms
UPS paves the way for
better service with
artificial intelligence

19. Scenario
Dutch SW provider needed to replace desktop SW
delivery model to innovate faster and meet
customer needs
Solution
Better customer experience through frequent
product updates and SaaS model that scales on
demand
Automated management reduced overhead and
provisions performance with scale
SnelStart increases customer
reach with 100 staff

20. Meet and exceed your business
requirements:
• Instantaneous application response times
• Business continuity and productivity
• Protection for your customer’s data and
your brand
• Built-in intelligence that drives user
productivity
• New insights from complex data
relationships
• Powerful analytics and insights from Big
Data
• Ability to accelerate innovations to your
users
Transactional
Modernize relational apps backed
by SQL-based innovation
• Meet today’s high performance
and scale needs
• Drive the highest data security

21. Benefits of Azure for SQL-based
transactional apps
Layers of security; ML• -based
innovation serves as “alarm system”
Enterprise security, GDPR compliant•
Integrated Single Sign• -on and traffic
management
Highly responsive, low• -latency, ACID
transactional consistency
Mission critical availability, few clicks•
to DR
• R-built in for in-database predictive
analytics
Real• -time operational analytics
integrated with Power BI
Choice of database technologies in•
Azure: SQL, MySQL, and PostgreSQL
Azure Data Warehouse
Contoso Insurance
REGION 1
REGION 2
REGION 3
Power BI
Machine
Learning
Azure Active
Directory
100,000+ users
Layers of Protection
Protect Data
Control Access
Monitor Activity
Alerts on threats
Azure Load
Balancer
App Service
Transactional apps on
Azure
Azure Storage Blobs

22. Real-time
experiences
Meet and exceed your business
requirements:
Performance around the world with a•
serverless architecture
Deliver greater customer choice and real• -
time notifications
Intelligent predictions based on complex•
data
Improved customer awareness through•
event-driven scenarios
Engage all your customers with planet-scale
apps that deliver real-time, personalized
experiences
• Ingest massive volumes of data
• Run models to predict in real-time
• Serve up unique information or
recommendations

23. Benefits of Azure for real-time
experiences
• Define accurate, low-latency apps
with tunable settings that balance
consistency and performance
• Enable turnkey global distribution
with scaling based on global
demand, enabling an always on
system
• Serverless, event-driven architecture
enables triggered experiences based
on change data feed
• Azure Cosmos DB Spark API enables
Spark analytics over operational
data
• Run ML models in Spark for real-
time recommendations
Real-time experiences
on Azure
Strong Bounded-stateless Session Consistent prefix Eventual

24. Big Data
processing
Meet and exceed your business
requirements:
Ingest and process massive volumes of data•
Enable business insights from unstructured•
data
Apply real• -time analytics for instant updates
Infuse AI into apps to actively engage with•
customers
Improve performance and gain insights
by running applications with data-
intense, high-processing workloads and
analytics
Bottomless compute and data•
storage for storing all data
Real• -time processing of data for real-
time insights
Combine relational and big data•

25. Azure benefits for Big Data
processing:
• Limitless scale and data
ingestion
• Store any data in its native
format; optimized for business
requirements
• Enterprise-grade access control,
encryption at rest across all data
stores and processing engines
• Open and extensible tools and
services for developers, data
engineers, and data scientists
• Support batch or streaming
analytics for greater business
insights
• Drive insights back into the
application experience
Big Data processing
on Azure
Hadoop Spark
HDINSIGHT CLUSTER
Service layer 2
Service layer 3
Service layer 1
RETAIL STORE
WEB STORE
Service layer 1
MOBILE STORE
Service layer 1
Azure SQL DW
PolyBase
Azure
Storage
Blobs
Comments,
ratings
UNSTRUCTURED APP
DATA
IoT
Clickstream
logs, telemetry
STRUCTURED APP DATA
Azure SQL DB
Azure
Cosmos
DB
Website &
mobile apps
LOB & POS
apps
BUSINESS APPS
Market data
EXTERNAL DATA
Social media

26. Artificial
Intelligence
Meet and exceed your business requirements:
Extend and scale customer care resources•
Interpret and respond to customer•
engagement across text, image, voice
Apply real• -time analytics for sentiment
analysis
Transfer to live agents on• -the-fly
Transform apps by increasing customer
engagement through chatbots and
human-like intelligence

27. Hadoop
Azure
Storage
Blobs
Azure
SQL DB
Azure
Cosmos
DB
Website &
mobile apps
LOB & POS
apps
BUSINESS APPS
Azure Bot
Service
Cognitive
Services
HDINSIGHT
Vision
Speech
Text
Knowledge
Language
Azure Search
Customer care knowledge
Sentiment analysis
Azure benefits for AI:
• Augment customer care/service
experiences with AI
• Engage with customers in a natural
way within your apps
• Interpret meaning of data including
text, voice and images
• Serve up knowledgebase data to feed
agent-based interactions
• Adapt your experience to customers
habits, preferences or past activities
• Evaluate and understand your
customer feedback at scale
• Identify complex patterns or behaviors
to make better decisions
AI-driven experiences
on Azure

28. SaaS apps
Meet and exceed your business requirements:
Leverage existing SQL• -based packaged app
investments for SaaS
Ensure best customer experience•
Protect customer data, protect your brand•
Grow your business without overhead•
Create new revenue streams and/or create•
differentiated experiences
Grow your business by transforming to
software-as-a-service; accelerate innovations
to customers, expand your reach, and enrich
experiences with data and insights for added
monetization and differentiation
2013 2014 2015 2016 2017 2018
SaaS
On-premiseSaaS apps will
make up 74% of
workloads in
2020, a 33%
increase from
2013

29. Benefits of Azure for your SaaS
transformation
In• -application Power BI offers
app differentiation or added
monetization streams
Manage varied customer traffic•
for optimal app performance
Secure customer data through•
tenant isolation
Manage thousands of DBs as•
one, grow customer base with
efficiencies
Offer business customers Single•
SignOn with Active Directory
Leverage app telemetry across•
growing customer base for
insights into high-growth/low-
growth customers for deeper
engagement
Contoso Travel
Power BI
Azure
Active
Directory
Customer 1
Manage thousands
of databases as one
Manage resources
Protect data
Control access
Monitor activity
Alerts on threats
Traffic Manager
Customer 2 Customer 1000…
Customer 1 Customer 2 Customer 1000…
SQL Database Elastic pools
Elastic jobs
SaaS transformation on Azure

30. B A C K E D B Y A C O M P L E T E D A T A P L A T F O R M
Database +
Big Data
Information
Management
Machine Learning
+ Analytics
Intelligence
Azure • SQL Database
• Azure Cosmos DB
• SQL Data Warehouse
• Data Lake Store
• HDInsight
• Data Factory
• Data Catalog
• Event Hubs
• Machine Learning
• Analysis Service
• Data Lake Analytics
• Stream Analytics
• Cognitive Services
• Bot Framework
• Cortana
SQL Server • In-memory OLTP + DW • Integration Services • R + Python
• Analysis Services
• Reporting Services
• Mobile BI
Dashboards +
Visualizations
• Power BI

31. A Z U R E S Q L D ATA B A S E
T H E I N T E L L I G E N T C L O U D D A T A B A S E F O R A P P D E V E L O P E R S
Lift and shift
SQL Server apps
Migrate SQL Server
data marts
Build intelligent
apps with R built-in
52% less expensive than on-
prem, 46.7% increase in
productivity, 98% less
database-related downtime*
Seamless
and compatible
Competitive
TCO
Intelligent
DBaaS
Privacy
and trust
Built-in intelligence
enables self-driving
capabilities across HA,
performance, and security
Leading security
innovations including
Threat Detection which
serves as an alarm system
Scales on-the-fly with no
downtime, works with your
existing SQL investments
and skills
Up to 33% cheaper than
SQL Server on AWS RDS,
delivers 406% ROI*
*Source: IDC White Paper | The Business Value of Microsoft Azure SQL Database Services
(http://download.microsoft.com/download/A/1/D/A1D5C24B-284A-4F9C-B121-E6E5FDAB1B94/IDC-Azure-SQL-DB-Value-2015.pdf)

32. Work in the DB of your choice
Create with built-in high availability
Set up in minutes, scale on the fly
Sustain performance with adaptive improvements
Rest easy with unparalleled security
A Z U R E D A T A B A S E F O R M Y S Q L
A Z U R E D A T A B A S E F O R P O S T G R E S Q L
Lift and shift MySQL
and PostgreSQL apps
Migrate WordPress
and Drupal
Build apps with your
OSS DB of choice

33. Multi-model data with your favorite API
Elastically scale storage and throughput
Multiple, well-defined consistency levels
the 99th percentile
Industry-leading SLAs
Table API
A Z U R E C O S M O S D B
G L O B A L L Y D I S T R I B U T E D , M U L T I - M O D E L N O S Q L D A T A B A S E S E R V I C E
Lift and shift
MongoDB apps
Run Spark over
operational data
Build real-time
customer experiences
Ideal for IoT, gaming
and eCommerce

34. Model & ServePrep & Train
HDInsight /
Spark
DATA
Custom
apps
Sensors
and devices
INTELLIGENCE ACTION
Store
Blobs
Data Lake
Ingest
Data Factory
(Data movement, pipelines & orchestration)
Machine
Learning
Cosmos DB
SQL Data
Warehouse
Analysis Services
Event Hubs
IoT Hub
SQL Database
Analytical dashboards
Predictive apps
Operational reports
Intelligence
D ATA M A N A G E M E N T S O L U T I O N
F O R I N T E L L I G E N C E I N T H E C LO U D
Business
apps
10
01
SQLKafka

35. A L E A D E R I N 1 8 G A R T N E R M A G I C Q U A D R A N T S
Microsoft offers a broad suite
of functionality available
either on-premises or in the
cloud. Growing support of
open-source technologies
and community participation
helps open up the tools for
a broader set of platforms.
Microsoft is currently the only
vendor positioned as a Leader
across Gartner’s Magic Quadrants
for Cloud Infrastructure as a
Service, Identity and Access
Management as a Service, Public
Cloud Storage, along with data
platform and productivity
services.
Gartner
2017
Gartner
2015
“ “Microsoft continues to
lead the market in vision
with its SQL offerings for
IMDBMS, NoSQL, multiple
cloud dbPaaS offerings,
built-in access to analytics
and mobility support.
Gartner
2016
“Microsoft is in the Leaders
quadrant this year, based
on strong execution with
its Azure and Xamarin
offerings within the sizable
.NET developer market.
Gartner
2016
“

36. Solution
Areas Government Health Education
Financial
Services Retail
Manufacturing
& Resources
Highlight areas where data-driven app innovation can transform customer business
Transactional
Citizen services
tracking
Care coordination
Educational lifecycle
management
Customer experience
management
Retail management
system
Connected field
service
Examples of
SaaS apps
Citizen Service
Requests
Grants Management
Patient Coordination
Risk prediction
Medical Claim Analytics
Learning Management
System
Personalized learning
Customer Service
Banking Screen
Compliance Assessments
Pricing & Promotion
Retail Personalization
Inventory Optimization
Quote-to-cash system
Sales automation
Predictive Maintenance
Big data
processing
Enterprise grade
control
Genomic data Student analyticsRisk compute Demand forecasting Server logs
Real-time
experiences
Secure global
platform
Customer care
experience
Global collaborationSeamless services Commerce experience Supply chain visibility
AI Smart buildings
Automated
appointments
Intelligent resources
for students
Risk mitigation Learn customer habits Predictive processes
Unique need Security Compliance InnovationSecurity User experience Scale

37. Real-time
experiences
Artificial
Intelligence (AI)Transactional
Big data
processing
TRANSFORM YOUR APPS WITH DATA + AI
SaaS
apps
On-premises
apps

38. Why Microsoft
Understand overall value of
modernizing with Microsoft
Online
• Customer References
• Azure TCO Calculator
• Azure Essentials
• Azure Migrate Portal
Discover value
Learn data maturity and
identify potential
modernization paths
Online
Technical Migration Forum•
Cloud Ready Assessment•
Offer from MCS
Assess Data Estate
Identify key issues and
challenges in current
platform while learning new
technologies
Online
• ISV Data Accelerator
Program
• MAP Tool
• Data Migration Portal
• Tutorials & Hands on Labs
Proof of concept
Experience new scenarios and
confirm expectations
Online
• Hackathon Tools
• Trials & Previews
• Azure TCO Calculator
• Check out our state of the
art GitHub repository:
• LOB application build
source code and labs
• SQL Database code
samples
• SQL Server code
samples
Deploy & grow
Realize migration benefits
and expand
Online
• DBA & Dev Training
• Cloud Ready Assessment
Offer from MCS
• SQL Server Migration
Assistant
• Data Migration Assistant
• Database Experimentation
Assistant
• Azure Database Migration
Service
L E T ’ S T A L K A B O U T T H E R I G H T
N E X T S T E P S F O R Y O U R A P P S

39. © 2018 Razor Technology, LLCwww.razor-tech.com
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www.razor-tech.com
David.Rosenthal@razor-tech.com
Cell: 215.801.4430
Office: 866.RZR.DATA
LETS KEEP IN TOUCH

40. © 2017 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.
The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market
conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation.
MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

41. Customer need
Create an intelligent, highly personalized
world of digital services that integrate
the vehicle seamlessly into the life of
the customer and are available 24/7,
inside or outside of the car.
Impact
BMW created the Open Mobility Cloud, an
intelligent, continuously learning platform
based on Azure that melds environment,
context and services to address customers’
individual mobility needs.

42. Customer need
Collect and aggregate data from aircraft
engines at an unprecedented scale.
Analyze massive datasets and perform data
modeling at scale to accurately detect
operational anomalies and help customers
plan engine maintenance and repairs.
Impact
Massive cost savings across the lifetime
of an aircraft engine.
Innovative insights into aircraft management.

43. Customer need
An enhanced digital presence to better
connect with customers across multiple
digital touch points.
Engaging customers more personally
and dynamically across devices.
Impact
Optimized customer experience with 24/7
availability across devices and apps.
Continuous innovation with a DevOps
development methodology and cloud
application development platform.

44. Customer need
Challenges with variable elevator uptime.
Looking to drive greater customer service
and competitive differentiation.
Impact
With dynamic predictive models, goes
beyond preventative maintenance with
predictive and preemptive maintenance
services around the globe.
Increased elevator uptime and reduced costs
for customers.