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BIG DATA EUROPE:
CONCEPT, PLATFORM,
AND PILOTS
BDE SC5 Workshop, Brussels11 October 2016
Talk outline
¥ The BigDataEurope action
¥ The Big Data Integrator platform
¥ Pilots across all seven H2020 challenges
¥ Upcoming BDE Activities
18-oct.-16www.big-data-europe.eu
BigDataEurope Action
18-oct.-16www.big-data-europe.eu
Big Data Europe (CSA: 2015-17)
¥ Show societal value of Big Data
o Across all societal challenges addressed by Horizon 2020
¥ Lower barrier for using big data technologies
o Effort and resources to convert tools and workflows
o Skills and expertise
¥ Help establish data value chains
o Across languages, organizations, and domains
18-oct.-16www.big-data-europe.eu
Consortium
NCSR
DEMOKRITOS
Stakeholder Engagement
¥ Present action, showcase
deployments
¥ Raise awareness about BDE results,
what they mean for stakeholders
¥ Collect requirements to drive
further development
18-oct.-16
www.big-data-europe.eu
M12M6 M18 M24 M30
Data Value Chain Evolution
18-oct.-16www.big-data-europe.eu
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
Cloud
Stage 1
Stage 2
Stage 3
Food SocietiesClimate Energy
Big Data Integrator
18-oct.-16www.big-data-europe.eu
Architecture
¥ Big Data Integrator (BDI):
o The prototype developed by BDE
¥ Main points of the architecture
o Dockerization
o Support layer, including integrated UI
o Semantification layer
18-oct.-16www.big-data-europe.eu
Big Data Integrator
18-oct.-16www.big-data-europe.eu
¥ Plug-and-play BD Platform
¥ Cloud-deployment ready
¥ Domain independent, Customisable
¥ Bundles Open Source solutions
¥ First Version Released!
Docker containers
18-oct.-16www.big-data-europe.eu
¥ Docker offers lightweight virtualization
o Docker containers can be shared to be provisioned on different
Linux variations and versions
¥ Identical base sys
not required
¥ All BDI components:
Docker containers
BDI components
18-oct.-16www.big-data-europe.eu
¥ Processing and storage components
o Re-used existing docker containers where available
o Dockerized by BDE otherwise
o Ensured all can be provisioned through Docker Swarm
¥ Components by BDE:
o Support Layer
o Semantic Layer
Support Layer
18-oct.-16www.big-data-europe.eu
¥ BDE defines uniform UI stylesheets
o Web UIs from BDE dockers (including for third party
components) follow these BDE stylesheets
¥ BDE-developed tools:
o Starting containers
and dependencies
o Monitoring execution
Semantic data lake
18-oct.-16www.big-data-europe.eu
¥ Minimal ingestion
pre-processing
¥ Semantic layer
maintains metadata
¥ Add meaning when
retrieving/processing
Data	Lake:	scalable	unstructured	data	store
Relationship	definitions	and	metadata
JSON-LD CSVW R2RMLXML2RDF
BDE Docker Containers
18-oct.-16www.big-data-europe.eu
¥ Data serving: HDFS, Cassandra, 4store,
PostGIS, Strabon, Elastic Search, Hive,
Semagrow
¥ Processing: Spark, Flink, Sansa
¥ Stream ingestion middleware: Flume,
Kafka
Semantic layer tools
18-oct.-16www.big-data-europe.eu
¥ BDE tooling for Semantic Data Lake:
o Swagger: Semantics of RESTful APIs
o Semantic Analytics Stack (SANSA):
Distributed data processing for large-
scale RDF data
o Semagrow: SPARQL perspective over
Big Data stores
BigDataEurope Pilots
18-oct.-16www.big-data-europe.eu
SC1: Pharmacology research
18-oct.-16www.big-data-europe.eu
Life
Sciences
& Health
• Extensive toolset
developed by
OPF and others
• Query a large number of datasets, some large
• Existing elaborate ingestion and homogenization
by the OpenPHACTS Foundation
SC2: Viticulture resources
18-oct.-16www.big-data-europe.eu
Food and
Agriculture
• AgInfra is a major infrastructure for agriculture
researchers, serving cross-linked bibliography,
data, and processing services
• Pilot automates
publication
ingestion and
thematic
classification
SC3: Predictive maintenance
18-oct.-16www.big-data-europe.eu
Energy
• Wind turbine monitoring
applies computational
models to sensor data
streams
• Models are weekly re-
parameterized using
week’s data from multiple
turbines
SC4: Traffic conditions estimation
18-oct.-16www.big-data-europe.eu
Transport
• Estimation of real-time traffic
conditions in Thessaloniki
• Combines:
• Traffic modelling from
historical data
• Current measurements from a
taxi fleet of 1200 vehicles
SC5: Climate modelling
18-oct.-16www.big-data-europe.eu
Climate
• Discovering and re-using previously
computed derivatives
• Lineage annotation: datasets and model
parameters used to compute derivative
datasets
• Finding appropriate past runs avoids
repeating weeks-long modelling runs
• Preparing modelling experiments
• Slicing, transforming, combining datasets into new datasets
• Submission to and retrieval from modelling infrastructure
SC5 Pilot: Points Demonstrated
18-oct.-16www.big-data-europe.eu
Climate
• Existing infrastructure and stable, reliable
software for parallel computation of models
• BDI is deployed as an external infrastructure
for preparing and managing datasets
• BDI offers:
• Hive for managing data in a way that can be
retrieved and manipulated, rather than file blocks
• Cassandra stores structured and textual metadata
for searching headers and lineage
SC6: Municipality budgets
18-oct.-16www.big-data-europe.eu
Social
Sciences
• Ingestion of budget and
budget execution data
• Multiple municipalities in
varied formats and data
models
• Homogenized data made
available for analysis and
comparison
SC7: Change detection & verification
18-oct.-16www.big-data-europe.eu
Secure
Societies
• Events are extracted from text
published by news agencies
and on social networking sites
• Events are geo-located and
relevant changes are detected
by comparing current and
previous satellite images
UPCOMING BDE ACTIVITIES
Integrating Big Data, Software & Communities for Addressing
Europe’s Societal Challenges
2nd round of Societal Workshops
18-oct.-16www.big-data-europe.eu
Transport 22 September 2016 Brussels Collocated with Big Data for
Transport, Tisa workshop
Food&Agri 30 September 2016 Brussels Collocated with DG AGRI WP2018-
20 stakeholder consultation
Energy 4 October 2016 Brussels Collocated with EC H2020 Info Day
on “Smart Grids and Storage”
Climate 11 October 2016 (1) Brussels Collocated with Melodies Project
Event – Exploiting Open Data
Health 19 October 2016 Brussels Standalone Workshop
Security 18 October 2016 Brussels Standalone Workshop
Societies 5 December 2016 Cologne Collocated with EDDI16- 8th Annual
European DDI User Conference
Other Activities
¥ Hands-on BDE pilots workshop
o Apache Big Data Europe, Seville, 14-16 Nov
o Enable BD technology practitioners to try out BDI &
components
o To fine-tune technical BDI requirements
¥ Various SC-focussed and general hangouts, follow!
o Apache Flink & BDE (20 Oct) – Free Webinar
18-oct.-16www.big-data-europe.eu
WEB: www.big-data-europe.eu
EMAIL: info@big-data-europe.eu
BIG DATA INTEGRATOR: www.github.com/big-data-europe
PROJECT COORDINATION
Prof. Sören Auer, auer © cs.uni-bonn · de (Fraunhofer IAIS)
> Dr. Simon Scerri, scerri © cs.uni-bonn · de (Fraunhofer IAIS)
EIS Department/Group,
Fraunhofer IAIS & CS Department Uni-Bonn,
Bonn, Germany
Fraunhofer IAIS: Leads Fraunhofer Big Data Alliance
Questions & Contacts
www.big-data-europe.eu
18-oct.-16
#BigDataEurope

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Big data Europe: concept, platform and pilots

  • 1. BIG DATA EUROPE: CONCEPT, PLATFORM, AND PILOTS BDE SC5 Workshop, Brussels11 October 2016
  • 2. Talk outline ¥ The BigDataEurope action ¥ The Big Data Integrator platform ¥ Pilots across all seven H2020 challenges ¥ Upcoming BDE Activities 18-oct.-16www.big-data-europe.eu
  • 4. Big Data Europe (CSA: 2015-17) ¥ Show societal value of Big Data o Across all societal challenges addressed by Horizon 2020 ¥ Lower barrier for using big data technologies o Effort and resources to convert tools and workflows o Skills and expertise ¥ Help establish data value chains o Across languages, organizations, and domains 18-oct.-16www.big-data-europe.eu
  • 6. Stakeholder Engagement ¥ Present action, showcase deployments ¥ Raise awareness about BDE results, what they mean for stakeholders ¥ Collect requirements to drive further development 18-oct.-16 www.big-data-europe.eu M12M6 M18 M24 M30
  • 7. Data Value Chain Evolution 18-oct.-16www.big-data-europe.eu 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 Cloud Stage 1 Stage 2 Stage 3 Food SocietiesClimate Energy
  • 9. Architecture ¥ Big Data Integrator (BDI): o The prototype developed by BDE ¥ Main points of the architecture o Dockerization o Support layer, including integrated UI o Semantification layer 18-oct.-16www.big-data-europe.eu
  • 10. Big Data Integrator 18-oct.-16www.big-data-europe.eu ¥ Plug-and-play BD Platform ¥ Cloud-deployment ready ¥ Domain independent, Customisable ¥ Bundles Open Source solutions ¥ First Version Released!
  • 11. Docker containers 18-oct.-16www.big-data-europe.eu ¥ Docker offers lightweight virtualization o Docker containers can be shared to be provisioned on different Linux variations and versions ¥ Identical base sys not required ¥ All BDI components: Docker containers
  • 12. BDI components 18-oct.-16www.big-data-europe.eu ¥ Processing and storage components o Re-used existing docker containers where available o Dockerized by BDE otherwise o Ensured all can be provisioned through Docker Swarm ¥ Components by BDE: o Support Layer o Semantic Layer
  • 13. Support Layer 18-oct.-16www.big-data-europe.eu ¥ BDE defines uniform UI stylesheets o Web UIs from BDE dockers (including for third party components) follow these BDE stylesheets ¥ BDE-developed tools: o Starting containers and dependencies o Monitoring execution
  • 14. Semantic data lake 18-oct.-16www.big-data-europe.eu ¥ Minimal ingestion pre-processing ¥ Semantic layer maintains metadata ¥ Add meaning when retrieving/processing Data Lake: scalable unstructured data store Relationship definitions and metadata JSON-LD CSVW R2RMLXML2RDF
  • 15. BDE Docker Containers 18-oct.-16www.big-data-europe.eu ¥ Data serving: HDFS, Cassandra, 4store, PostGIS, Strabon, Elastic Search, Hive, Semagrow ¥ Processing: Spark, Flink, Sansa ¥ Stream ingestion middleware: Flume, Kafka
  • 16. Semantic layer tools 18-oct.-16www.big-data-europe.eu ¥ BDE tooling for Semantic Data Lake: o Swagger: Semantics of RESTful APIs o Semantic Analytics Stack (SANSA): Distributed data processing for large- scale RDF data o Semagrow: SPARQL perspective over Big Data stores
  • 18. SC1: Pharmacology research 18-oct.-16www.big-data-europe.eu Life Sciences & Health • Extensive toolset developed by OPF and others • Query a large number of datasets, some large • Existing elaborate ingestion and homogenization by the OpenPHACTS Foundation
  • 19. SC2: Viticulture resources 18-oct.-16www.big-data-europe.eu Food and Agriculture • AgInfra is a major infrastructure for agriculture researchers, serving cross-linked bibliography, data, and processing services • Pilot automates publication ingestion and thematic classification
  • 20. SC3: Predictive maintenance 18-oct.-16www.big-data-europe.eu Energy • Wind turbine monitoring applies computational models to sensor data streams • Models are weekly re- parameterized using week’s data from multiple turbines
  • 21. SC4: Traffic conditions estimation 18-oct.-16www.big-data-europe.eu Transport • Estimation of real-time traffic conditions in Thessaloniki • Combines: • Traffic modelling from historical data • Current measurements from a taxi fleet of 1200 vehicles
  • 22. SC5: Climate modelling 18-oct.-16www.big-data-europe.eu Climate • Discovering and re-using previously computed derivatives • Lineage annotation: datasets and model parameters used to compute derivative datasets • Finding appropriate past runs avoids repeating weeks-long modelling runs • Preparing modelling experiments • Slicing, transforming, combining datasets into new datasets • Submission to and retrieval from modelling infrastructure
  • 23. SC5 Pilot: Points Demonstrated 18-oct.-16www.big-data-europe.eu Climate • Existing infrastructure and stable, reliable software for parallel computation of models • BDI is deployed as an external infrastructure for preparing and managing datasets • BDI offers: • Hive for managing data in a way that can be retrieved and manipulated, rather than file blocks • Cassandra stores structured and textual metadata for searching headers and lineage
  • 24. SC6: Municipality budgets 18-oct.-16www.big-data-europe.eu Social Sciences • Ingestion of budget and budget execution data • Multiple municipalities in varied formats and data models • Homogenized data made available for analysis and comparison
  • 25. SC7: Change detection & verification 18-oct.-16www.big-data-europe.eu Secure Societies • Events are extracted from text published by news agencies and on social networking sites • Events are geo-located and relevant changes are detected by comparing current and previous satellite images
  • 26. UPCOMING BDE ACTIVITIES Integrating Big Data, Software & Communities for Addressing Europe’s Societal Challenges
  • 27. 2nd round of Societal Workshops 18-oct.-16www.big-data-europe.eu Transport 22 September 2016 Brussels Collocated with Big Data for Transport, Tisa workshop Food&Agri 30 September 2016 Brussels Collocated with DG AGRI WP2018- 20 stakeholder consultation Energy 4 October 2016 Brussels Collocated with EC H2020 Info Day on “Smart Grids and Storage” Climate 11 October 2016 (1) Brussels Collocated with Melodies Project Event – Exploiting Open Data Health 19 October 2016 Brussels Standalone Workshop Security 18 October 2016 Brussels Standalone Workshop Societies 5 December 2016 Cologne Collocated with EDDI16- 8th Annual European DDI User Conference
  • 28. Other Activities ¥ Hands-on BDE pilots workshop o Apache Big Data Europe, Seville, 14-16 Nov o Enable BD technology practitioners to try out BDI & components o To fine-tune technical BDI requirements ¥ Various SC-focussed and general hangouts, follow! o Apache Flink & BDE (20 Oct) – Free Webinar 18-oct.-16www.big-data-europe.eu
  • 29. WEB: www.big-data-europe.eu EMAIL: info@big-data-europe.eu BIG DATA INTEGRATOR: www.github.com/big-data-europe PROJECT COORDINATION Prof. Sören Auer, auer © cs.uni-bonn · de (Fraunhofer IAIS) > Dr. Simon Scerri, scerri © cs.uni-bonn · de (Fraunhofer IAIS) EIS Department/Group, Fraunhofer IAIS & CS Department Uni-Bonn, Bonn, Germany Fraunhofer IAIS: Leads Fraunhofer Big Data Alliance Questions & Contacts www.big-data-europe.eu 18-oct.-16 #BigDataEurope