The Connected Enterprise
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Transcript of The Connected Enterprise
The Connected Enterprise
CONTENTS
● What is Connected Enterprise?
● Why Graph Databases?
● Common Graph Use Cases
● Graph Algorithms
● Next Generation Enterprise with Neo4j
● CAKE as Connected Enterprise
What is Connected Enterprise?
What is Connected Enterprise?
What can we learn from Google?
Isolated Data Connected Data
What is Connected Enterprise?
What is Core to our businessHas To Be Connected
What is Connected Enterprise?
ORG
Sales Channels
Supply Chain
Products
Marketing
CRM
Payments
MobileApps
The Connected Enterprise
Why Graph Databases?
Why Graph Databases?
Front-end is easy
Why Graph Databases?
Typical Enterprise Held back by Legacy - Data stores in relational databases and in Silos
Consumers Products Payments Social Suppliers
Why Graph Databases?
Towards a Connected Enterprise
Common Graph Use Cases
Common Graph Use Cases
Real-Time Recommendations
Fraud Detection
Network & IT Operations
Master Data Management
Graph based Search
Graph Algorithms
Graph Algorithms
Page RankThe PageRank is an algorithm that measures the “importance” of the nodes in a
graph.
PR(A) = (1-d) + d (PR(T1)/C(T1) + ... + PR(Tn)/C(Tn))
Usage
PageRank is a powerful tool that ties search, advertising, recommendation and
reputation systems. The merit of PageRank comes from its power in evaluating
network measures in a connected system.
Graph Algorithms
Betweenness CentralityThe betweenness centrality counts how many shortest paths between each pair
of nodes of the graph pass by a node.
Usage
Identifies “brokers of information” in the network or nodes that connect disparate
clusters. The concept finds wide application, including computer and social
networks, biology, transport and scientific cooperation.
Ref: http://graphstream-project.org/doc/Algorithms/
Next Generation Enterprise with Neo4j
The Database for the Connected Enterprise
Next Generation Enterprise with Neo4j
Causal Clustering ArchitectureResilient, Modern, Fault-Tolerant – Guarantees Graph Safety
● Built-in load balancing○ Spreads reads to core and replica servers
○ Spreads writes across core servers
● Causal consistency○ Always consistent view of data at any scale
○ Stronger than eventual consistency
● Large clusters○ 1000+ instance clusters
Next Generation Enterprise with Neo4j
Security FoundationEnterprise-Class Security and Control
● Built-in native users repository
● LDAP connector to Active Directory or openLDAP
● Custom auth provider plugins
Next Generation Enterprise with Neo4j
User-Defined Functions● Allows users to create their own functions and use them with Cypher
● Useful for expressing common computations, rules, conversions, predicates
CAKE as Connected Enterprise
CAKE as Connected Enterprise
CAKE
Menu
POS
Payments
Inventory
OLO
Connect
Neo4j Cluster
CRM
User Management
GM
CAKE as Connected Enterprise
New Opportunities for “Connected Data”
● Can use as a Master Data Management platform
● Real-time product recommendations for Consumer Apps
and OLO
● Use data to inform merchant specific business decisions
● New Business Intelligence(BI) reports
Questions?
Thank You!
