Enterprise 360 - Graphs at the Center of a Data Fabric

Nov 17, 2020Download as PPTX, PDF1 like129 views

Data fabric architectures are used to simplify and integrate data management across business functions to accelerate digital transformation. Creating a data fabric is a way to develop a data-centric view of your business which results in an Enterprise 360 perspective based on trusted data. Industry analysts and vendors are increasingly finding that graph databases are a key enabling technology in support of Data Fabric architectures that deliver trusted data. During this on-demand webinar, we discuss how we help our customers implement a Data Fabric pattern using graph database technology in support of their key strategic objectives.

Enterprise 360
Graphs at the Center of the Data Fabric
Aaron Wallace | Product Manager
– Spectrum Context Graph

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of the Fortune 100
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Customers in more than
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2,000
employees
customers
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Nodes 2020

Nodes 2020
Graphs Provide Foundation for Context

Graphs Power Data
Literacy Through the
Data Fabric
• Data fabric organized around metadata
and promotes data literacy
• Semantic representation of key business
entities supports conversations
• Provides a clear understanding of source
characteristics – quality, security
• Whiteboard-focused conversations and
design sessions enable iterative
methodologies
• Schema-lite approach necessary for
Enterprise 360 while still allowing for the only
constant – which is CHANGE

Representative Enterprise 360 Architecture
CRM ERP
Transactional Manager
Precisely Spectrum
Outbound Kafka Topic Outbound Kafka Topic Outbound Kafka Topic
Change Data Capture
Kafka Consumer
Kafka ConsumerKafka Producer
Enterprise Service Bus Enterprise Service Bus
API
Inbound
Workflow
Inbound
Trafo Dataflow
REST
Webservice
Inbound Workflow
Inbound
Dataflow
MDM Service
Dataflows Neo4J
Workflow
Kafka Consumer Kafka Consumer
ERP Kafka Producer
REST
Webservice
REST
Webservice
REST
Webservice
REST
Webservices
Nodes 2020

Graph VisualizationGraph Visualization Drives Insight
Nodes 2020

Graph Algorithms Layer Perspective
Nodes 2020
Centrality
Degree
Influence
Closeness
Betweenness
Spatial
Proximity

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