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1 of 11
Scalable End-User Access to Big Data
HELLENIC REPUBLIC
National and Kapodistrian
University of Athens
Peter Haase, fluid Operations AG
European Data Forum 2013, Dublin
1 / 11
Paradigm Shift for Data Access
Budget:
13 800 000 €
Running until
November
2016
10 partners
5 countries
100 man years
FP7
Large-scale
IP project
Images © Siemens AG, Harald Pettersen/Statoil
2 / 11
Optique Use Cases
Up to 80% time
on data access
Up to 70% time
on data access
Turnaround time:
weeks
Turnaround time:
days
© Siemens AG © Harald Pettersen/Statoil
3 / 11
Big Data: Challenges Beyond Volume
Complex case:
information need specialized query
engineer ITexpert
translation
disparate sources
Velocity Volume
BIG DATA
Variety Complexity
© Gartner Inc.4 / 11
From Weeks to Hours
engineer
flexible,ontology
based queriesApplication
Optique translatedQuery
translation
Optique solution
queries
disparate sources
timely, complete, and correct results
5 / 11
Unique Combination of Techniques
6 / 11
Optique Architecture
End-user IT-expert
Data models
Std. ontologies
. . .
Appli-
cation
Query
Formulation
Ontology & Mapping
Management
Ontology Mappings
Query Transformation
Query Planning
Stream Adapter Query Execution Query Execution· · ·
· · · · · ·
streaming data
query
results
cross-componentoptimization
7 / 11
fluidOps Platform as a Basis for Optique
8 / 11
The Optique Ecosystem
9 / 11
Optique Partner Programme
10 / 11
Visit us at the exhibition booth!
Twitter: @OptiqueProject
Web: http://www.optique-project.eu/
Email: info@optique-project.eu
11 / 11

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EDF2013: Selected Talk, Peter Haase: Optique: Scalable End-User Access to Big Data

  • 1. Scalable End-User Access to Big Data HELLENIC REPUBLIC National and Kapodistrian University of Athens Peter Haase, fluid Operations AG European Data Forum 2013, Dublin 1 / 11
  • 2. Paradigm Shift for Data Access Budget: 13 800 000 € Running until November 2016 10 partners 5 countries 100 man years FP7 Large-scale IP project Images © Siemens AG, Harald Pettersen/Statoil 2 / 11
  • 3. Optique Use Cases Up to 80% time on data access Up to 70% time on data access Turnaround time: weeks Turnaround time: days © Siemens AG © Harald Pettersen/Statoil 3 / 11
  • 4. Big Data: Challenges Beyond Volume Complex case: information need specialized query engineer ITexpert translation disparate sources Velocity Volume BIG DATA Variety Complexity © Gartner Inc.4 / 11
  • 5. From Weeks to Hours engineer flexible,ontology based queriesApplication Optique translatedQuery translation Optique solution queries disparate sources timely, complete, and correct results 5 / 11
  • 6. Unique Combination of Techniques 6 / 11
  • 7. Optique Architecture End-user IT-expert Data models Std. ontologies . . . Appli- cation Query Formulation Ontology & Mapping Management Ontology Mappings Query Transformation Query Planning Stream Adapter Query Execution Query Execution· · · · · · · · · streaming data query results cross-componentoptimization 7 / 11
  • 8. fluidOps Platform as a Basis for Optique 8 / 11
  • 11. Visit us at the exhibition booth! Twitter: @OptiqueProject Web: http://www.optique-project.eu/ Email: info@optique-project.eu 11 / 11