The document discusses BigDataEurope, a H2020 CSA project that aims to lower barriers for using big data technologies and demonstrate societal value through 7 pilot use cases. It describes the Integrator Platform, which provides a flexible, generic platform for deploying big data value chains using open source solutions. The platform has been instantiated 7 times for the pilot uses cases. It also discusses synergies between BigDataEurope and the Big Data Value Association (BDVA) in advancing big data technical priorities.

1. BIG DATA EUROPE
BigDataEurope – BDVA Joint Webinar27.04.2017
Empowering Communities with Data Technologies
H2020 CSA (2015-2017)
Dr. Simon Scerri (Deputy Coordinator)

2. BigDataEurope Action
 Coordination: Show societal value of Big Data
o Across all societal challenges addressed by H2020
 Support: Lower barrier for using BD technologies
o Effort to setup and deploy use-case workflows
o Lack of skills & expertise
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3. Consortium
NCSR
DEMOKRITOS

4. Data Value Chain Evolution
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Extraction, Curation Quality, Linking,
Integration
Publication,
Visualization, Analysis
Extraction, Curation, Quality,
Linking, Integration, Publication,
Visualization, Analysis
Health
Transport
Security
Extraction Curation Quality Linking Integration Publication Visualization Analysis
Data
Repositories
Linked
Open Data
TIME
Food SocietiesClimate Energy
Proprietary,
‘locked-in’
solutions
OS Solutions,
Big Data Stacks
www.big-data-europe.eu

5. A flexible, generic platform for (Big) Data Value
Chain Deployment
BigDataEurope Integrator Platform
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6. Integrator Platform Architecture
 Stacks Open Source solutions (Free)
 Dockerization
 Facilitates integration and deployment
 Plug-and-play BD Platform
 Key BDE additions
o Support layer: integrated UI
o Semantification layer
 Final BDI Release:
o (3rd) May 2017] Final
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7. Demonstrating the Societal Value through 7 Pilot
‘Real-world’ use-cases
BigDataEurope Pilots
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8. BigDataEurope’s 7 Pilots
◎ BigDataEurope Platform Instantiations
o Allow end-users to easily deploy functionality in own system environment
o Modularized Docker approach - easier to replace components
o Reduces effort to keep 3rd party software updated & integrated
◎ 7 Societal Challenge Pilots
o Aligned with 7 European Commision H2020 Societal Challenges
o Real-world use-cases (Data, Objectives, Solutions)
o Some pilots have different data & objectives but a similar solution
◎More info:
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www.big-data-europe.eu/pilot/

9. 7 Integrator Platform Instances
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10. Free Workshops, Hangouts & Webinars
BigDataEurope Activities
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11. 3rd round of Societal Workshops
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Food&Agri 31 March 2017 Brussels Co-organized with e-ROSA H2020 project
Energy Autumn 2017 Brussels (Details to Follow)
Transport 12/13 September 2017 Brussels Collocated with Big Data for Transport,
Tisa workshop, organised by Ertico
Climate 21/22 September 2017 Brussels Collocated with iScape Project Workshop –
Improving the Smart Control of Air
Pollution in Europe by EC JRC Ispra.
Health Autumn 2017 Brussels (Details to Follow)
Societies Autumn 2017 T.B.C. (Details to Follow)
Security Autumn 2017 Brussels Standalone Event
Watch: big-data-europe.eu/webinar/
big-data-europe.eu/sc-networks/
Events: big-data-europe.eu/events/

12. BigDataEurope & BDVA: Synergies
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13. BigDataEurope & BDVA: Synergies
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◎ Common Vision: Big Data PPP
 Target technical priorities in Strategic Research & Innovation Agenda
- BigDataEurope Technical Contributions: Architecture & Platform
- BDVA Task Force 6: Technical Priorities
◎ What’s in it for BigDataEurope?
 Sustainability: Continue efforts within a bigger/longer initiative
 Standardisation: BDVA as a vessel for standardising project results
◎ What’s in it for the BDVA?
 BigDataEurope (and other projects) advance Technical Priorities
 Value of projects’ Societal Communities & activities (e.g. BD Requirements)

14. Technical Synergies – High-level
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BDVA Reference Model BigDataEurope Platform Architecture

15. Data Protection & Security Engineering &
DevOps
Standards
Data Processing Architectures
Data Visualisation and User Interaction
Data Analytics
Data Management
Infrastructure Cloud, Communication(5G), HPC, IoT/CPS
BigDataPriorityTechAreas
Sectors, Applications, Cross-cutting functions
Builds on
ForecastingSANSA
Ontario
Positioning BigDataEurope within BDVA Ref. Model (1)
Resource
Management
Layer (Swarm)
Zeppelin
Support Layer
Init Daemon
GUIs
Monitor
App Layer
Forecasting Satellite Image Analysis
Platform Layer
Spark Flink Semantic Layer
Ontario SANSA Semagrow
Kafka
Real-time Stream Monitoring
...
...
Resource Management Layer (Swarm)
Hardware Layer
Premises Cloud (AWS, GCE, MS Azure, …)
Data Layer
Hadoop NOSQL Store CassandraElasticsearch ...RDF Store

16. ForecastingSANSA
Ontario
Positioning BigDataEurope within BDVA Ref. Model (2)
Resource
Management
Layer (Swarm)
Zeppelin

17. Data Protection & Security Engineering &
DevOps
Standards
Data Processing Architectures
Data Visualisation and User Interaction
Data Analytics
Data Management
Infrastructure Cloud, Communication(5G), HPC, IoT/CPS
BigDataPriorityTechAreas
Sectors, Applications, Cross-cutting functions
Builds on
ForecastingSANSA
Ontario
Positioning BigDataEurope within BDVA Ref. Model (3)
Resource
Management
Layer (Swarm)
Zeppelin

18. BigDataEurope & BDVA: Synergies
27-avr.-17www.big-data-europe.eu
◎ Common Vision: Big Data PPP
 Target technical priorities in Strategic Research & Innovation Agenda
- BigDataEurope Technical Contributions: Architecture & Platform
- BDVA Task Force 6: Technical Priorities
◎ What’s in it for BigDataEurope?
 Sustainability: Continue efforts within a bigger/longer initiative
 Standardisation: BDVA as a vessel for standardising project results
◎ What’s in it for the BDVA?
 BigDataEurope (and other projects) advance Technical Priorities
 Value of projects’ Societal Communities & activities (e.g. BD Requirements)