This document discusses empowering communities with big data technologies. It defines big data as the 2.5 quintillion bytes of data created every day from a variety of sources. Big data is characterized by its volume, velocity, variety, and veracity. The document outlines the challenges and opportunities of big data in Europe, including developing a big data aggregator platform to help establish cross-domain data value chains and lower barriers to using big data. It engages stakeholders to provide input on components and showcase applications to analyze real-time data across domains like transport, health, climate and more.

1. Empowering Communities with
Data Technologies
Fraunhofer IAIS - coordinatorSC Workshops
BIG DATA EUROPE

2. The Motivation – Big Data
Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the
world today has been created in the last two years alone.
This data comes from everywhere: sensors used to gather climate information, posts to
social media sites, digital pictures and videos, purchase transaction records, and cell phone
GPS signals to name a few.
This data is big data. Source:

3. Big Data: Dimensions
www.big-data-europe.eu
Volume
Velocity
Variety
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Veracity!

4. Big Data Dimensions

5. Health
> Climate
Energy
Transport
Food
Societies
Security
Big Data in Europe: Challenges,
Opportunities
www.big-data-europe.eu
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#3: Analyse, Discover, Visualise
#4: Mashup, Cross-domain Exploitation
Journalists Authorities
Weather
Maps
Forecasts Statistics Maritime Data

6. Data Value Chain Evolution
12-janv.-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

7. Rationale
 Show societal value of Big Data
 Lower barrier for using big data technologies
o Required effort and resources
o Limited data science skills
 Help establishing cross-
lingual/organizational/domain Data Value
Chains
12-janv.-16

8. BigDataEurope: Consortium

9. Stakeholder Engagement Cycle

10. Data Aggregator Platform:
Blueprint
Batch Layer
Speed Layer
Data Storage
Real-time data &
Transactions …
Batch View
Real-time
View
messagepassing
message passing
Applications & Showcases
Real-time dashboards
Domain-specific BDE apps
Big Data Analytics
In-stream Mining
BDEPlatform&
Intelligence
Input data
Stream
Spatial
Social
Statistical
Temporal
Transaction
al
Imagery
+ Semantic Layer (Retaining Semantics using LD
Lambda Architecture

11. Big Data & Transport
 Challenges
o We want to hear what you have to say!
o Input for BD Aggregator Platform & Components
 Opportunities
o We want to broaden your horizons!
o We will provide free, useful, cutting-edge BD
tools.
12-janv.-16www.big-data-europe.eu