Neo4j, the leading enterprise graph platform, is now globally available on Amazon Web Services (AWS) as a fully managed, always-on database service. Neo4j Aura Enterprise on AWS empowers organizations to rapidly build mission-critical, intelligent cloud-based applications backed by the performance, scale, security, and reliability that only the most deployed and most trusted graph technology can provide. Customers like Levi Strauss & Co., Sainsbury’s, Siemens, The Orchard and Tourism Media are already using Aura Enterprise on AWS for fraud detection, regulatory compliance, recommendation engines, supply chain analysis, and much more. Join us for this exclusive digital event to learn more about Neo4j Aura Enterprise on AWS: - Understand the state of the data and analytics market and how investing in Neo4j and AWS fits in the big picture - Get insights into how Siemens and Tourism Media are unlocking the power of graph databases on AWS during a panel discussion - Discover how to build modern graph applications with Neo4j on AWS through a step-by-step presentation and demo

1. The State of the Data and Analytics Market
Srinivas Kesanapally
Senior Manager, Partner Solution
Architecture, Data and Analytics
Amazon Web Services (AWS)

2. Explosion of data Explosion of personas Demand for faster
decision-making on
real-time data
Key trends that impact the way we think about analytics

3. The pace of disruptive innovation is increasing
…yet only about 1 in 6 of them believe they are
responding with a bold strategy at scale
9 out of 10 companies believe their industry will
be digitally disrupted…
Source: McKinsey, https://www.mckinsey.com/mgi/overview/in-the-news/the-right-response-to-digital-disruption

4. Traditional analytics approach don’t scale
Data silos
OLTP ERP CRM LOB
DW Silo 1
Business
intelligence
Devices Web sensors Social
DW Silo 2
Business
intelligence
Relational data
TBs–PBs scale
Schema defined prior to data load
Operational reporting and ad hoc
Large initial CAPEX + $10K $50K/TB/Year

5. Designed for the new reality
Cloud-optimized: Architect services ground-up for
the cloud and for the explosion of data
Purpose-built: Offer a portfolio of purpose-built
services, optimized for your workloads
Fully managed: Help you innovate faster
through managed services
Now used by a very large number of customers
for mission-critical applications

6. Graph Databases
“By 2025, graph technologies will be used in 80% of data and
analytics innovations, up from 10% in 2021, facilitating rapid
decision making across the enterprise.” *
* Top 10 Tech Trends in Data and Analytics, 16 Feb 2021
Rita Sallam et al

7. Emerging use cases

8. Neo4j on AWS | Better Together

9. Building Modern Apps on Aura
Getting started with development quickly

10. M. David Allen
Global Lead Cloud Architect
@mdavidallen

11. The Journey
1. Get a database set up - free or cheap!
2. Figure out how to fill it with data
3. Figure out how to query and update it
4. Release an app!
5. Operate the app for the long haul

12. Neo4j, Inc. All rights reserved 2021
4
Log in
Google Neo4j Aura

13. Neo4j, Inc. All rights reserved 2021
5
Create a database
Choose Corporate Login

14. Neo4j, Inc. All rights reserved 2021
6
Create a database
Choose Corporate Login

15. Neo4j, Inc. All rights reserved 2021
7
Remember the user/pass
Give it a name

16. Neo4j, Inc. All rights reserved 2021
8
Bloom and Browser
Ready to get to work
• Visualisation tools
• Bloom:
• For analysts
• Beautiful, hardware
accelerated view of the graph
• Driven by Google-style
queries, assisted by the graph
structure
• Browser
• Developer-oriented REPL
• Prototype and profile queries

17. Neo4j, Inc. All rights reserved 2021
9
Application code
Import a DB Dump

18. Neo4j, Inc. All rights reserved 2021
10
Browser
Bloom
Google-style queries in
prose, with feedback
from graph and indexes
Cypher query language

19. 11
Application architecture

20. 12
Detailed application architecture

21. 13
Where are the servers?
• The Neo4j server is host by Aura
• But where are the GraphQL and
Web servers?
• We could create servers for these
the old-fashioned way
• But we can delegate this to the
cloud too, using serverless

22. 14
Cloud CLI

23. 15
Setup CLI

24. 16
Build-Deploy to Serverless Platform

25. 17
The Transfer Network

26. 18
Follow the money

27. 19
MoneyFlow.js
<Query
query={QUERY}
variables={{
first: this.state.rowsPerPage, offset: this.state.rowsPerPage * this.state.page, country:
this.state.countryFilter,
orderBy: this.state.orderBy + "_" + this.state.order}} >
{({ loading, error, data }) => {
if (loading) return <p style={{ padding: "7px" }}>Loading...</p>;
if (error) return <p style={{ padding: "7px" }}>Error</p>;
return (
<div>
<Table className={this.props.classes.table}>
<TableHead>
<TableRow>
<TableCell key="fromCountry” sortDirection={ orderBy === "fromCountry" ? order : false }>
…
</Query>
</Paper>

28. 20
GraphQL Types for the API
type Transfer {
_id: Long!
date: Date!
id: String!
value: Float!
of_player: [Player]
@relation(name: "OF_PLAYER",
direction: "OUT")
from_club: [Club]
@relation(name: "FROM_CLUB",
direction: "OUT")
to_club: [Club]
@relation(name: "TO_CLUB",
direction: "OUT")
}
type SpendingByClub {
club: String
clubImage: String
country: String
countryImage: String
moneySpent: Int
moneyReceived: Int
profit: Int
}

29. 21
@cypher Directive
type Query {
spendingByClub(countrySubstring: String = ""): [SpendingByClub]
@cypher(
statement: """MATCH (club:Club)-[*2]->(country:Country)
WHERE country.name CONTAINS $countrySubstring
WITH club, country,
apoc.coll.sumLongs([(club)<-[:TO_CLUB]-(t) | t.value]) AS moneyOut,
apoc.coll.sumLongs([(club)<-[:FROM_CLUB]-(t) | t.value]) AS moneyIn
RETURN { club: club.name, clubImage: club.image, country: country.name,
countryImage: country.image, moneySpent: moneyOut,
moneyReceived: moneyIn, profit: moneyIn - moneyOut}"""
)
…
}

30. 22
Prototyped in the REPL (of course)

31. Neo4j, Inc. All rights reserved 2021
23
Serverless?
Graphless?
• Aura means you can choose
to be serverless
• You get a managed service
◦ With elasticity
• But you don’t have to run
graph infrastructure
yourselves
◦ Keep it up to date
◦ Backups
◦ Continuous uptime
◦ Monitoring
• No.This is an app that uses a
graph
◦ You’ve built apps that use
other data models, this is the
same
• You don’t have to show the
graph
◦ For most apps you don’t
◦ For most analytics you can
◦ For most dev you do

32. 24
Building GRANDstack Apps
• Full MEAP now available
• Learn from Will Lyon how
to build GraphQL apps
• Serverless, GraphQL
based systems
https://neo4j.com/docs/graphql-manual/current/

33. 25
Building Regular Apps
• You focus on your
application and your data
model
• You choose your
frameworks, servers (or
not), etc
• Aura frees you from
managing the data tier

34. Available on AWS and GCP Today
Azure Early ’22

35. Thank you
David Allen
david.allen@neo4j.com