This webinar will teach you how Neo4j, now available on the Azure Marketplace, will help you harness the full power of your data by continuously capturing relationships. You’ll hear the basics of what’s behind the rapid uptake of graph technologies and why Neo4j is the #1 graph database with over 200 customers that include Walmart, UBS, Cisco, HP, adidas and Lufthansa. Find out whether graph technologies make sense for your cloud strategy. Learn what makes this integrated Neo4j and Azure solution such an ideal option for enterprises looking to build more intelligent cloud applications and drive real-time decisions. Hear more about how Neo4j’s native graph database can deliver results in milliseconds as opposed to minutes. Watch our demonstrate on how you can get started immediately with Neo4j on Microsoft Azure and ask any deployment questions you might have. At the end of this session, you’ll understand how combining the power of Neo4j with the flexibility and scale of Microsoft’s trusted cloud platform can help you transform the way you approach extracting value from your data. From customer experience and recommendations to logistics and knowledge management, you’ll have the tools to drive real-time decisions and pivot to meet dynamic demands.

1. Build Intelligent
Applications at
Internet-Scale
Neo4j on MS Azure
June 22, 2017

2. Native Graph Database on
• Amy Hodler, Partner Marketing Mgr., Neo4j
• amy.hodler@neo4j.com
• Igor Borojevic, Director Product
Management, Neo4j
• igor.borojevic@neo4j.com
• Shawn Elliott, Microsoft Cloud Architect
(TED/DX), Microsoft
• shawn.elliott@microsoft.com
§ The Connected Enterprise
§ Graph Databases
§ Graph in the Cloud?
§ How to Get Started
§ Why Native-Graph?

3. The Connected
Enterprise

4. Your Enterprise Is Driven by Connections
Your Decision Applications Should be Too
Engagement
Economy
Single, Always Current,
View of Relationships
Framework for Real-Time
Decision Making
Exceptionally
Flexible Models
Disruptions and Dynamic
Markets
Intertwined Products and
Services

5. Thrive as a Data-Driven, Connected Enterprise
Neo4j helps us to understand our online shoppers’
behavior and the relationship between our
customers and products, providing a perfect tool for
real-time product recommendations.” – Marcos
Wada, Walmart
“
With Neo4j, we’ve been able to take our average
processing time [for pricing operations] from over
four minutes to about 13 seconds… and reduce our
overall infrastructure cost by about 50%.” – Scott
Grimes, Marriott
“
Graph analysis is possibly the single most effective
competitive differentiator for organizations pursuing
data-driven operations and decisions after the
design of data capture.” – Gartner
“
Build apps to accelerate
productivity and effectiveness
Eliminate stale
recommendations
Leverage hidden
relationships and
quickly pivot
Single, Always Current,
View of Relationships
Framework for Real-
Time Decision Making
Exceptionally
Flexible Models

6. Graph Databases
Focused on
Connections
Polling Question

7. Unlike other database models,

8. Neo4j connects data
as it stores it
Unlike other database models,

9. Relational Databases
Perform Well For:
• Well-understood data structures that don’t
change too frequently
• Known problems involving discrete parts of the
data, or minimal connectivity
Graph Databases
Perform Well For:
• Systems where the data topology is difficult to predict but
needs to be efficiently handled
• Dynamic requirements
• Whenever relationships in between your data contribute
meaning and value
Representing and Storing Data
Different Models for Different Needs

10. Graph is Hot
DB-Engines Rankings
Popularity of Database Models since 2013

11. Common Graph Database Uses
Real-Time
Recommendations
Identity & Access
Management
Fraud
Detection
Network &
IT Operations
Master Data &
Data Lineage
Knowledge Graph
Real-World Case Studies

12. Graph in the
Cloud?
Polling Question

13. Augmenting datasets are essential for
many use cases
New datasets will emerge
Data Co-Location for Graph Workloads
Time is Right for Neo4j on MS Azure
Massive consumer generated content is
already in the cloud
Corporate workloads are moving to cloud
You Don’t Have All
the Information
Bring Decisions
Closer to the Data
‘Cloud spending is growing at 4.5
times the rate of IT spending and is
expected to increase to 6 times the
rate.’
IDC-Sept 2016
‘Microsoft Azure is viewed as the
platform that customers would most
likely purchase or renew going
forward’
Cowen – May 2017

14. Native graph databases have extremely flexible data models
Simplify adding and changing datasets
Cloud is a natural platform for dealing with changes
Easily add and configure Neo4j High Availability Clusters on
MS Azure
Flexible Graph. Elastic Cloud.
Relationships
Constantly Change
Workloads are
Unpredictable

15. Embedded security with Neo4j and MS
Azure
ACID data integrity
Microsoft managed platform
Trusted
Neo4j on MS Azure
Trusted Enterprise
Environment
‘Over 2/3rd of cybersecurity
professionals indicate teams are still
learning how to apply security to
cloud options and over 50% admit
they don’t have the right staff.’
ESG- 2017
‘. . . And 30% are looking for help
through managed service providers.’
Cybersecurity Insiders- 2017

16. Simplify Graph Exploration and Use
MS Azure ARM deployment of Neo4j
Focus on your application with the
infrastructure taken care of
Up and running in an hour
Use your own or a sample dataset
Quickly explore what’s possible
Start Now
Simplify

17. Getting Started
Polling Question

18. Why Native
Graph?

21. Lots of Activity
DB-Engines Rankings

22. Greater Neo4j
adoption than
the next top
10 combined
DB-Engines Rankings
Neo4j Dominance

23. Related Data – Stored in Disparate Silos
Multiply the Value of Your Data

24. Index-free adjacency
ensures lighting-fast retrieval of
data and relationships

25. Completely Focused. Exceptionally Flexible.
Store data more
efficiently with 20x
workload on 50% less
resources
Performance at Scale
Easy-to-use tools,
query language and
procedures from a
thriving community
Accelerate Productivity
Enhance existing
solutions with data
relationships and
integrated data siloes
Sustainable
Advantage
Easily add, remove or
change data sources
without schema
changes or downtime
Critical Agility
Innovate
leveraging
relationships
Query results
in milliseconds
vs. minutes
Most PoC
projects
deployed in
under a week
Continuously
captures connections
and naturally stores
the relationships
Adapt data
models to
business
changes in
minutes

26. Neo4j is the World’s Leading Native
Graph Database.
We provide a technology that gives
any organization the ability to
leverage connections in data
. . . in real-time.

27. Industry Leaders use Neo4j

28. • Azure MarketPlace
• Availability blog
• Step by Step setup blog
• Neo4j Cloud Developers Guide
We Can Help
Ask Me How
• Amy.Hodler@neo4j.com
• Igor.Borojevic@neo4j.com

29. Don’t Forget
You Have
Choices
Public or Private
New To Graph
Concepts?
We’re Here to Help
Match Resources to
Your Graph Workload
Memory Matters