This was a 1h demo and talk co-presented by Red Hat's Cojan van Ballegooijen and 3scale's Manfred Bortenschlager talking about data integration of various diverse sources via data virtualization. Then we exposed the data via RESTful APIs and added the 3scale API Management layer on top to get full control and visibility about API access.

1. @cvanball @ManfredBo
Integrating, exposing and managing
distributed data
with RESTful APIs and open source
Cojan van Ballegooijen Red Hat @cvanball
Manfred Bortenschlager 3scale @ManfredBo
At Endpoint2015, Sept. 4, Amsterdam

2. @cvanball @ManfredBo
Outline
1. Power of data integration and Web APIs
2. Solution overview
3. Data integration and exposition via data
virtualization
4. API management
5. Take aways
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1. Data integration and
Web APIs

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Data
Everywhere!
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Data is nothing without analytics
Analytics require data access.
Data access requires integration of multiple
and diverse data sources.
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⇒ APIs
⇒ Data Virtualization

7. @cvanball @ManfredBo
2. Solution overview

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Solution overview
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External
API Consumers
DataAbstraction
Layer
Data
Virtualization
API ManagementMultiple, Diverse
Data Sources

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3. Data integration and
exposition through
Data Virtualization

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Don’t move your data, virtualize it

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What is data virtualization?

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JBoss Data
Virtualization
(Teiid)
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Tooling
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Tooling
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Demo content
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4. API management

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APIs make access to digital assets simple.
API management enables full control and
visibility.
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API management needs to provide technical- and
business operations functionality
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API Program Management
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Access Control
Authentication and authorization to identify the originator
of incoming traffic and ensure only permitted access.
Rate Limits and Usage Policies
Usage quotas and restrictions on incoming traffic to keep
loads predictable.
Analytics
Data capture and analysis of traffic patterns to learn how
the API is being used.
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A good API management deployment model
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API
Consumer
API
Provider
Traffic
Monitoring
API Management
Access Control
Usage Policies
Analytics
Developer Portal
Billing

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Demo content
1. Integrate virtualised endpoint
2. Define mappings
3. Launch developer portal
4. Analyse API traffic
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5. Take aways

25. @cvanball @ManfredBo
Take aways
Big Data seems awesome. But data is useless without
analytics.
To facilitate analytics, diverse data needs to be integrated
and provided.
This seems hard, but does not have to be.
Data virtualisation and API management can make this very
easy.
Both can be used independently – but naturally fit well
together.
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26. @cvanball @ManfredBo
Teiid:
http://www.teiid.org
JBoss Data Virtualization:
http://www.jboss.org/products/datavirt/overview/
3scale Tutorials:
https://support.3scale.net/
API Economy ebooks:
http://www.3scale.net/resources/reports/
Further resources
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27. @cvanball @ManfredBo
Integrating, exposing and managing
distributed data with RESTful APIs
and open source
Contacts:
Cojan van Ballegooijen
Manfred Bortenschlager
At Endpoint2015, Sept. 4, Amsterdam

28. @cvanball @ManfredBo
Demo Backup

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