Integrating, exposing and managing distributed data with RESTful APIs �and open source

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Information about Integrating, exposing and managing distributed data with RESTful APIs...

Published on September 4, 2015

Author: 3SCALE

Source: slideshare.net

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 2

3. @cvanball @ManfredBo 1. Data integration and Web APIs

4. @cvanball @ManfredBo Data Everywhere! 4

5. @cvanball @ManfredBo 5

6. @cvanball @ManfredBo Data is nothing without analytics Analytics require data access. Data access requires integration of multiple and diverse data sources. 6 ⇒ APIs ⇒ Data Virtualization

7. @cvanball @ManfredBo 2. Solution overview

8. @cvanball @ManfredBo Solution overview 8 External API Consumers DataAbstraction Layer Data Virtualization API ManagementMultiple, Diverse Data Sources

9. @cvanball @ManfredBo 3. Data integration and exposition through Data Virtualization

10. @cvanball @ManfredBo Don’t move your data, virtualize it

11. @cvanball @ManfredBo What is data virtualization?

12. @cvanball @ManfredBo JBoss Data Virtualization (Teiid) 12

13. @cvanball @ManfredBo Tooling 13

14. @cvanball @ManfredBo Tooling 14

15. @cvanball @ManfredBo Demo content 15

16. @cvanball @ManfredBo 4. API management

17. @cvanball @ManfredBo APIs make access to digital assets simple. API management enables full control and visibility. 17

18. @cvanball @ManfredBo API management needs to provide technical- and business operations functionality 18

19. @cvanball @ManfredBo API Program Management 19

20. @cvanball @ManfredBo 20

21. @cvanball @ManfredBo 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. 21

22. @cvanball @ManfredBo A good API management deployment model 22 API Consumer API Provider Traffic Monitoring API Management Access Control Usage Policies Analytics Developer Portal Billing

23. @cvanball @ManfredBo Demo content 1. Integrate virtualised endpoint 2. Define mappings 3. Launch developer portal 4. Analyse API traffic 23

24. @cvanball @ManfredBo 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. 25

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 26

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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