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BDE SC3.3 Workshop - BDE review: Scope and Opportunities


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BDE review: Scope and Opportunities (Prof. Maria-Ester Vidal, Franhofer IAIS) at the BigDataEurope Workshop, Amsterdam, Novermber 2017

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BDE SC3.3 Workshop - BDE review: Scope and Opportunities

  2. 2. Stakeholder Engagement & Activities M12M6 M18 M24 M30 Coordination & Support Action 2015-17
  3. 3. BDE Partners
  4. 4. Where we started…
  5. 5. Importance of Volume Importance of Velocity Stakeholder Requirements (I)
  6. 6. Importance of Variety Efficiency of Data Infrastructures Stakeholder Requirements (II)
  7. 7. Societal Data Value Chain Requirements
  8. 8. Major Results
  9. 9. Watch: 7 Societal Communities  Bringing Communities closer o Understanding common challenges & needs o Defining Generic Big Data Architecture  Community Activities o Yearly workshops (1 per SC) o Hangouts (SC- specific), Webinars (technical, general)  Identifying 7 Pilots, showcase value of BD Platform
  10. 10. BDE Integrator Platform Released!  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 Release: o November 2017
  11. 11. 7 Integrator Platform Instances SC1: Health SC2: Food& Agriculture SC4: Transport SC7: Security SC6: Social Sciences SC5: Climate SC3: Energy
  12. 12. Moving Forward…
  13. 13. Big Data Platform  Open-Source Community o Maintenance of BD components remains independent o Commitment from core BDE consortium team o Maintenance driven by ‘users’  Users include follow-up projects: o BigDataOcean, BETTER, NextGEOSS, Special, iASiS  Planned series of ‘Semantics in Big Data’ workshop  Standardisation efforts within BDVA
  14. 14. 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 into BDVA Ref. Model 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
  15. 15. Questions & Contacts 25-janv.-18 #BigDataEurope BIG DATA INTEGRATOR PILOT DESCRIPTIONS PROJECT COORDINATION (Fraunhofer IAIS) Prof. Sören Auer, auer © cs.uni-bonn · de Dr. Simon Scerri, scerri © cs.uni-bonn · de Prof. Maria-Esther Vidal, maria.vidal © tib · eu EIS Department/Group, Fraunhofer IAIS & CS Department Uni-Bonn, Bonn, Germany Input: Requirements, Technical, Standardisation Leads Fraunhofer Big Data Alliance