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BIG             07/06/2012
                             Nuria de Lama
(Big Data Public Private Forum)

       European Data Forum
     Copenhagen, 7th June 2012




               Nuria de Lama
      Representative of Atos Research &
            Innovation to the EC



                      1
07/06/2012
                                          Nuria de Lama
Table of Contents

1. Motivation
  1. Example (company level)
  2. Business potential
2. Learning experience: Future Internet
3. BIG: Big Data Public Private Forum




2
                                    2
07/06/2012
                                          Nuria de Lama
Table of Contents

1. Motivation
  1. Example (company level)
  2. Business potential
2. Learning experience: Future Internet
3. BIG: Big Data Public Private Forum




3
                                    3
A use case in Atos: Olympic Games                07/06/2012
                                                 Nuria de Lama
(increasing demand of data processing, storage
and innovative applications)




                                    4
Business potential of openness and   07/06/2012
                                     Nuria de Lama
collaboration




                          5
07/06/2012
                                         Nuria de Lama
Table of Contents

1. Motivation
  1. Example (company level)
  2. Business potential
▶ Learning experience: Future Internet
▶ BIG: Big Data Public Private Forum




6
                                   6
07/06/2012
The FI PPP: Towards an       Nuria de Lama
innovation landscape




7
                         7
07/06/2012
FI PPP Programme Implementation:   Nuria de Lama
Technology aligned with needs




8
                        8
07/06/2012
FI-WARE: Some figures and data                    Nuria de Lama


                                        Main data

                             26 partners
                             5 Universities
                             4248 Person Months
                             (excl. open calls)


                             Total Funding 41 M€
                             Open calls 12,3 M€
                             Total budget 66,4
                             M€


                             Three years duration


                         9
07/06/2012
FI-WARE: Collaboration with    Nuria de Lama
Usage Areas




                          10
07/06/2012
FI Core Platform Architecture:   Nuria de Lama
main chapters




                           11
07/06/2012
FI-WARE and Big Data                                      Nuria de Lama




▶ The FI-WARE project addresses, among others, the following Data
  Management topics:
  – Publish/ Subscription
  – Complex Even Processing (CEP)
  – Multimedia analysis
  – Unstructured data analysis
  – Meta-data pre-processing
  – Semantic annotation and application support
  – Big Data analysis, based on
    • Hadoop (heterogeneous MapReduce platform mainly used for ad-hoc data
      exploration of large sets of data.)
    • MongoDB: a scalable, high-performance, open source, document-oriented
      database.
    • SAMSON Platform: high-performance streaming MapReduce platform that
      is used for the near-real time analysis of streaming data.


                                          12
07/06/2012
                                         Nuria de Lama
Table of Contents

1. Motivation
  1. Example (company level)
  2. Business potential
▶ Learning experience: Future Internet
▶ BIG: Big Data Public Private Forum




13
                                   13
07/06/2012
BIG: Key facts                                        Nuria de Lama




▶   Type of project: Coordination Action (CA)
▶   Duration: 24 months
▶   Budget: 3,055 Meuro
▶   Funding: 2,5 Meuro
▶   Consortium: 11 partners

               Overall objective
    Address technical, business and policy
     aspects of IIM and Big Data with the
    aims of shaping the future of the area,
     positioning it in H2020 and bringing
    the necessary stakeholders into a self-
    sustainable industrially-led initiative to
    enhance EU competitiveness taking full
            advantage of Big Data.



                                                 14
07/06/2012
Project objectives                                                     Nuria de Lama




▶ Main Missions
   1. Build a self-sustainable Industrial community around Big Data in Europe
         •   Technical level establishing the proper channels to gather information
         •   industrially-led initiative to influence adequately the decision makers
    2. Promote adoption of earlier waves of big data technology
    3. Tackle adequately existing barriers such as policy and regulation issues

▶ Concrete Objectives (and outputs from BIG project)
    ▶   Define Stakeholders and players in the value chain (D2.3 Sector’s Requisites).
    ▶   Elaborate a clear picture of existing technological trends and their maturity
        (D2.2 Technical white papers )
    ▶   Acquire a sharp understanding of how big data can be applied to concrete
        environments/sectors (D2. 4 Sector’s Roadmap )
    ▶   Disseminate results and involve different stakeholders (D3.4 Project
        Dissemination Reports and D3.5 Stakeholder engagement activities)
    ▶   Define priorities based on expected impact (D.2.5 Integrated Roadmap )
    ▶   Contribute to EU competitiveness and position it in Horizon 2020 (D4.2 IPR,
        Standardization Recommendations)



                                                   15
07/06/2012
BIG: approach (I)        Nuria de Lama




                    16
07/06/2012
BIG: approach (II)                          Nuria de Lama




                          EIP, Digital Agenda,
                             EU Directives,          BIG Objective: Enable
                          Economic Drivers…          and enhance mapping
                                                      between TD and BU
                                                            issues




                           FP7 Projects, WG
                           inputs, Research
                              agenda…




                     17
07/06/2012
BIG: major activities                                                                   Nuria de Lama




                    Technology state of art and sector analysis
           Definition of the proposed application      Assess the impact/applicability of the
                           sectors                             different technologies




                                   Roadmapping activity
              Individual roadmap elaboration                  Roadmap consolidation
                        (per sector)                             (cross-sectorial)




                             Big Data Public Private Forum
             Impact Assessment               Sustainability          Towards Horizon 2020



                                              Big Data
                                             initiavive
                                             definition


                                                         18
07/06/2012
BIG: methodology                                                               Nuria de Lama




What is there (in   Which is the level Which support         Which metrics         Which are the
terms of            of maturity?       actions are           should be used?       impacts ?
technology)?                           needed?

                    Can it be                                Which is the actual What are the
What is needed      implemented?       How can it be         situation?          residual
(domain                                done?                                     challenges?
requirements)?
                    What is the time                     What do we want to
                    to market?         When can it be    achieve?           Highlight barriers,
What benefits will                     done?                                strengths, future
it bring to the                                                             directions…
stakeholders?      Is there any kind                     How to fulfill the
                   of restrictions?  Links between       existing gap
                                     topics (technology/ (cost/timeframe…)?
                                     sectors needs)?


                                                        19
07/06/2012
BIG: project structure                                                                               Nuria de Lama



                                           Industry driven working groups

                                                                                                         Manufacturing,
                                                         Finance &               Telco, Media &
           Health             Public Sector                                                              Retail, Energy,
                                                         insurance               Entertainment
                                                                                                           Transport

                                                 Needs                Supply


                                                        Value Chain

                                  Data                      Data                       Data                    Data
     Data acquisition
                                 analysis                 curation                    storage                  usage
                          • Data preprocessing
 •    Structured data                                                                                •   Decision support
                          • Semantic analysis     •   Trust
 •    Unstructured Data                                                        • RDBMS limitations   •   Decision making
                          • Sentiment analysis    •   Provenance
 •    Event processing                                                         • NOSQL               •   Automatic steps
                          • Other features        •   Data augmentation
 •    Sensors networks                                                         • Cloud storage       •   Domain-specific
                            analysis              •   Data validation
 •    Streams                                                                                            usage
                          • Data correlation

                                                      Technical areas

                                                                          20
Atos Research & Innovation
Nuria de Lama


Thank you

For more information please contact:

Ph: + 34 91214 9321
nuria.delama@atosresearch.eu


Atos, the Atos logo, Atos Consulting, Atos Worldline, Atos Sphere, Atos
Cloud and Atos WorldGrid
are registered trademarks of Atos SA. June 2011

© 2011 Atos. Confidential information owned by Atos, to be used by
the recipient only. This document, or any part of it, may not be
reproduced, copied, circulated and/or distributed nor quoted without
prior written approval from Atos.


                              09/06/12

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EDF2012 Nuria de Lama - BIG

  • 1. BIG 07/06/2012 Nuria de Lama (Big Data Public Private Forum) European Data Forum Copenhagen, 7th June 2012 Nuria de Lama Representative of Atos Research & Innovation to the EC 1
  • 2. 07/06/2012 Nuria de Lama Table of Contents 1. Motivation 1. Example (company level) 2. Business potential 2. Learning experience: Future Internet 3. BIG: Big Data Public Private Forum 2 2
  • 3. 07/06/2012 Nuria de Lama Table of Contents 1. Motivation 1. Example (company level) 2. Business potential 2. Learning experience: Future Internet 3. BIG: Big Data Public Private Forum 3 3
  • 4. A use case in Atos: Olympic Games 07/06/2012 Nuria de Lama (increasing demand of data processing, storage and innovative applications) 4
  • 5. Business potential of openness and 07/06/2012 Nuria de Lama collaboration 5
  • 6. 07/06/2012 Nuria de Lama Table of Contents 1. Motivation 1. Example (company level) 2. Business potential ▶ Learning experience: Future Internet ▶ BIG: Big Data Public Private Forum 6 6
  • 7. 07/06/2012 The FI PPP: Towards an Nuria de Lama innovation landscape 7 7
  • 8. 07/06/2012 FI PPP Programme Implementation: Nuria de Lama Technology aligned with needs 8 8
  • 9. 07/06/2012 FI-WARE: Some figures and data Nuria de Lama Main data 26 partners 5 Universities 4248 Person Months (excl. open calls) Total Funding 41 M€ Open calls 12,3 M€ Total budget 66,4 M€ Three years duration 9
  • 10. 07/06/2012 FI-WARE: Collaboration with Nuria de Lama Usage Areas 10
  • 11. 07/06/2012 FI Core Platform Architecture: Nuria de Lama main chapters 11
  • 12. 07/06/2012 FI-WARE and Big Data Nuria de Lama ▶ The FI-WARE project addresses, among others, the following Data Management topics: – Publish/ Subscription – Complex Even Processing (CEP) – Multimedia analysis – Unstructured data analysis – Meta-data pre-processing – Semantic annotation and application support – Big Data analysis, based on • Hadoop (heterogeneous MapReduce platform mainly used for ad-hoc data exploration of large sets of data.) • MongoDB: a scalable, high-performance, open source, document-oriented database. • SAMSON Platform: high-performance streaming MapReduce platform that is used for the near-real time analysis of streaming data. 12
  • 13. 07/06/2012 Nuria de Lama Table of Contents 1. Motivation 1. Example (company level) 2. Business potential ▶ Learning experience: Future Internet ▶ BIG: Big Data Public Private Forum 13 13
  • 14. 07/06/2012 BIG: Key facts Nuria de Lama ▶ Type of project: Coordination Action (CA) ▶ Duration: 24 months ▶ Budget: 3,055 Meuro ▶ Funding: 2,5 Meuro ▶ Consortium: 11 partners Overall objective Address technical, business and policy aspects of IIM and Big Data with the aims of shaping the future of the area, positioning it in H2020 and bringing the necessary stakeholders into a self- sustainable industrially-led initiative to enhance EU competitiveness taking full advantage of Big Data. 14
  • 15. 07/06/2012 Project objectives Nuria de Lama ▶ Main Missions 1. Build a self-sustainable Industrial community around Big Data in Europe • Technical level establishing the proper channels to gather information • industrially-led initiative to influence adequately the decision makers 2. Promote adoption of earlier waves of big data technology 3. Tackle adequately existing barriers such as policy and regulation issues ▶ Concrete Objectives (and outputs from BIG project) ▶ Define Stakeholders and players in the value chain (D2.3 Sector’s Requisites). ▶ Elaborate a clear picture of existing technological trends and their maturity (D2.2 Technical white papers ) ▶ Acquire a sharp understanding of how big data can be applied to concrete environments/sectors (D2. 4 Sector’s Roadmap ) ▶ Disseminate results and involve different stakeholders (D3.4 Project Dissemination Reports and D3.5 Stakeholder engagement activities) ▶ Define priorities based on expected impact (D.2.5 Integrated Roadmap ) ▶ Contribute to EU competitiveness and position it in Horizon 2020 (D4.2 IPR, Standardization Recommendations) 15
  • 16. 07/06/2012 BIG: approach (I) Nuria de Lama 16
  • 17. 07/06/2012 BIG: approach (II) Nuria de Lama EIP, Digital Agenda, EU Directives, BIG Objective: Enable Economic Drivers… and enhance mapping between TD and BU issues FP7 Projects, WG inputs, Research agenda… 17
  • 18. 07/06/2012 BIG: major activities Nuria de Lama Technology state of art and sector analysis Definition of the proposed application Assess the impact/applicability of the sectors different technologies Roadmapping activity Individual roadmap elaboration Roadmap consolidation (per sector) (cross-sectorial) Big Data Public Private Forum Impact Assessment Sustainability Towards Horizon 2020 Big Data initiavive definition 18
  • 19. 07/06/2012 BIG: methodology Nuria de Lama What is there (in Which is the level Which support Which metrics Which are the terms of of maturity? actions are should be used? impacts ? technology)? needed? Can it be Which is the actual What are the What is needed implemented? How can it be situation? residual (domain done? challenges? requirements)? What is the time What do we want to to market? When can it be achieve? Highlight barriers, What benefits will done? strengths, future it bring to the directions… stakeholders? Is there any kind How to fulfill the of restrictions? Links between existing gap topics (technology/ (cost/timeframe…)? sectors needs)? 19
  • 20. 07/06/2012 BIG: project structure Nuria de Lama Industry driven working groups Manufacturing, Finance & Telco, Media & Health Public Sector Retail, Energy, insurance Entertainment Transport Needs Supply Value Chain Data Data Data Data Data acquisition analysis curation storage usage • Data preprocessing • Structured data • Decision support • Semantic analysis • Trust • Unstructured Data • RDBMS limitations • Decision making • Sentiment analysis • Provenance • Event processing • NOSQL • Automatic steps • Other features • Data augmentation • Sensors networks • Cloud storage • Domain-specific analysis • Data validation • Streams usage • Data correlation Technical areas 20
  • 21. Atos Research & Innovation Nuria de Lama Thank you For more information please contact: Ph: + 34 91214 9321 nuria.delama@atosresearch.eu Atos, the Atos logo, Atos Consulting, Atos Worldline, Atos Sphere, Atos Cloud and Atos WorldGrid are registered trademarks of Atos SA. June 2011 © 2011 Atos. Confidential information owned by Atos, to be used by the recipient only. This document, or any part of it, may not be reproduced, copied, circulated and/or distributed nor quoted without prior written approval from Atos. 09/06/12

Notes de l'éditeur

  1. We cannot do it alone To dimension our place holder we need the help of the 8 Usage area projects. … but we aware we will not limit to them. We are also open to others. We are open to Celtic…Itea, the ETP, Net!works…
  2. Our architrute and a first glimpse of what we do