BIG. Big Data Analysis John Domingue (STI International and The Open University) Big Data Public Private Forum

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "BIG. Big Data Analysis John Domingue (STI International and The Open University) Big Data Public Private Forum"

Transcription

1 Big Data Analysis John Domingue (STI International and The Open University) Project co-funded by the European Commission within the 7th Framework Program (Grant Agreement No ) 1

2 The Data landscape Coping with data variety and verifiability are central challenges and opportunities for Big Data The long tail of data variety is a major shift in the data landscape Need for scalable approaches to cope with data under different format and semantic assumptions 2

3 The Data Value Chain Value Chain Data Acquisition Data Analysis Data Curation Data Storage Data Usage Structured data Unstructured data Event processing Sensor networks Streams Multimodality Data preprocessing Semantic analysis Sentiment analysis Data correlation Pattern recognition Realtime analysis Machine learning Trust Provenance Data augmentation Annotation Data validation Redundancy elimination Keep up-to-date Consistency Resources to store and process data In-Memory technologies Efficient data NoSQL NewSQL Cloud Security and privacy Decision support Predictions Simulation Exploration Modelling Control Domainspecific usage 3

4 Value Chain Data Acquisition Data Analysis Data Curation Data Storage Data Usage Data analysis 4

5 Heterogeneous data at speed 75 Exabytes/year of Mobile Data by

6 Data analysis Overview Big Data Analysis Big Data Analysis is concerned with making raw data which has been acquired amenable to use Supports decision making as well as domain specific usage. Typically data analysis will entail transforming data into a richer, possibly semantic based, representation. 6

7 Core techniques The techniques associated with Big Data Analysis will encompass those related to data mining and machine learning, to information extraction and new forms of data processing and reasoning including for example, stream data processing and largescale reasoning. 7

8 Meaning of Paris Capital of France Socialite Star Trek Character Mythical Character Plant James Bond Character Song Asteroid 8

9 RDF = Subject, Property, Value Triples 9

10 Triples combine to make Graphs 10

11 linked data successes 11

12

13 I Like Casablanca 13

14 People, photos, friends and the Web 14

15

16 16

17 Big data analysis exemplars 17

18 Data analysis Case Study Real-time radiation monitoring Crowd-sourced realtime radiation monitoring in Fukushima Combine official data, unofficial official data contributed by concerned citizen Community Analysis and Collection Number of data collection points can be dramatically increased; Communities will often create bespoke tools for the particular situation and to handle any problems in data collection (Developer Ecosystem) Citizen engagement is increased significantly 18

19 London riots summer

20 Data journalism (award winning) London Riots 2011 Key Offence Accused address Richer Poorer 20

21 Future scenario 21

22 Health and big data Virtual Physiological Human 22 Patient Avatar Personalised Model Cardiovascular Workflow

23 Summary The Data Landscape Coping with data variety and verifiability are central challenges and opportunities for Big Data The long tail of data variety is a major shift in the data landscape Need for scalable approaches to cope with data under different format and semantic assumptions The Solution Space Lowering the usability barrier for data tools is a major requirement across all sectors. Users should be able to directly manipulate the data Solutions based on large communities (crowd-based approaches) are emerging as a trend to cope with Big Data challenges Principled semantic and standardized data representation models are central to cope with data heterogeneity Significant increase in the use of new data models (i.e. graph-based) (expressivity and flexibility) 23

24 Subject Matter Expert Interviews Interviews available at: 24

BIG Big Data Public Private Forum

BIG Big Data Public Private Forum DATA STORAGE Martin Strohbach, AGT International (R&D) THE DATA VALUE CHAIN Value Chain Data Acquisition Data Analysis Data Curation Data Storage Data Usage Structured data Unstructured data Event processing

More information

BIG DATA PUBLIC PRIVATE FORUM

BIG DATA PUBLIC PRIVATE FORUM BIG DATA PUBLIC PRIVATE FORUM Agenda 09:00-10:30 9:00-9:20 9:20-9:55 9:55-10:30 The Big Project Results (Session 1) - The Big Project - Welcome and Introduction Nuria De Lama (ATOS Spain) - Key Technology

More information

User Needs and Requirements Analysis for Big Data Healthcare Applications

User Needs and Requirements Analysis for Big Data Healthcare Applications User Needs and Requirements Analysis for Big Data Healthcare Applications Sonja Zillner, Siemens AG In collaboration with: Nelia Lasierra, Werner Faix, and Sabrina Neururer MIE 2014 in Istanbul: 01-09-2014

More information

Industry 4.0 and Big Data

Industry 4.0 and Big Data Industry 4.0 and Big Data Marek Obitko, mobitko@ra.rockwell.com Senior Research Engineer 03/25/2015 PUBLIC PUBLIC - 5058-CO900H 2 Background Joint work with Czech Institute of Informatics, Robotics and

More information

Big Data & Security. Aljosa Pasic 12/02/2015

Big Data & Security. Aljosa Pasic 12/02/2015 Big Data & Security Aljosa Pasic 12/02/2015 Welcome to Madrid!!! Big Data AND security: what is there on our minds? Big Data tools and technologies Big Data T&T chain and security/privacy concern mappings

More information

Text Analytics and Big Data

Text Analytics and Big Data Text Analytics and Big Data META-FORUM 2012 Brussels, 20 th June 2012 Atos Research & Innovation 1 Table of Contents 1. Atos and why we are here 2. Examples 3. BIG: Big Data Public Private Forum 2 2 Atos:

More information

Research trends relevant to data warehousing and OLAP include [Cuzzocrea et al.]: Combining the benefits of RDBMS and NoSQL database systems

Research trends relevant to data warehousing and OLAP include [Cuzzocrea et al.]: Combining the benefits of RDBMS and NoSQL database systems DATA WAREHOUSING RESEARCH TRENDS Research trends relevant to data warehousing and OLAP include [Cuzzocrea et al.]: Data source heterogeneity and incongruence Filtering out uncorrelated data Strongly unstructured

More information

Standards for Big Data in the Cloud

Standards for Big Data in the Cloud Standards for Big Data in the Cloud International Cloud Symposium 15/10/2013 Carola Carstens (Project Officer) DG CONNECT, Unit G3 Data Value Chain European Commission Outline 1) Data Value Chain Unit

More information

Semantic Technologies for Big Data. Marin Dimitrov (Ontotext)

Semantic Technologies for Big Data. Marin Dimitrov (Ontotext) Semantic Technologies for Big Data Marin Dimitrov (Ontotext) XML Amsterdam 2012 XML Amsterdam 2012 #2 About Ontotext Provides products and services for creating, managing and exploiting semantic data Founded

More information

Impact of Big Data in Oil & Gas Industry. Pranaya Sangvai Reliance Industries Limited 04 Feb 15, DEJ, Mumbai, India.

Impact of Big Data in Oil & Gas Industry. Pranaya Sangvai Reliance Industries Limited 04 Feb 15, DEJ, Mumbai, India. Impact of Big Data in Oil & Gas Industry Pranaya Sangvai Reliance Industries Limited 04 Feb 15, DEJ, Mumbai, India. New Age Information 2.92 billions Internet Users in 2014 Twitter processes 7 terabytes

More information

COMP9321 Web Application Engineering

COMP9321 Web Application Engineering COMP9321 Web Application Engineering Semester 2, 2015 Dr. Amin Beheshti Service Oriented Computing Group, CSE, UNSW Australia Week 11 (Part II) http://webapps.cse.unsw.edu.au/webcms2/course/index.php?cid=2411

More information

A Roadmap for Future Architectures and Services for Manufacturing. Carsten Rückriegel Road4FAME-EU-Consultation Meeting Brussels, May, 22 nd 2015

A Roadmap for Future Architectures and Services for Manufacturing. Carsten Rückriegel Road4FAME-EU-Consultation Meeting Brussels, May, 22 nd 2015 A Roadmap for Future Architectures and Services for Manufacturing Carsten Rückriegel Road4FAME-EU-Consultation Meeting Brussels, May, 22 nd 2015 Road4FAME in a nutshell Road4FAME = Development of a Strategic

More information

Big Data and Analytics: Challenges and Opportunities

Big Data and Analytics: Challenges and Opportunities Big Data and Analytics: Challenges and Opportunities Dr. Amin Beheshti Lecturer and Senior Research Associate University of New South Wales, Australia (Service Oriented Computing Group, CSE) Talk: Sharif

More information

3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC-2016) March 10-11, 2016 VIT University, Chennai, India

3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC-2016) March 10-11, 2016 VIT University, Chennai, India 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC-2016) March 10-11, 2016 VIT University, Chennai, India Call for Papers Cloud computing has emerged as a de facto computing

More information

Cloud and Big Data Standardisation

Cloud and Big Data Standardisation Cloud and Big Data Standardisation EuroCloud Symposium ICS Track: Standards for Big Data in the Cloud 15 October 2013, Luxembourg Yuri Demchenko System and Network Engineering Group, University of Amsterdam

More information

Data in the IoT: considerations on opportunities, challenges and standardization perspectives

Data in the IoT: considerations on opportunities, challenges and standardization perspectives Forum on IoT in Smart Sustainable Cities The IoT Meets Big Data: A Standards Perspective 18 January 2016, Singapore Data in the IoT: considerations on opportunities, challenges and standardization perspectives

More information

Big Data. Copyright 2014 Engineering Group, SpagoBI Competency Center. All rights reserved. www.spagobi.org

Big Data. Copyright 2014 Engineering Group, SpagoBI Competency Center. All rights reserved. www.spagobi.org Big Data Overview on SpagoBI suite A comprehensive suiteoffering a full set of analytical and reporting tools. Innovative themes and solutions: Location Intelligence, Free inquiry, KPI, Interactive cockpits,

More information

EUDAT. Towards a pan-european Collaborative Data Infrastructure

EUDAT. Towards a pan-european Collaborative Data Infrastructure EUDAT Towards a pan-european Collaborative Data Infrastructure Damien Lecarpentier CSC-IT Center for Science, Finland EISCAT User Meeting, Uppsala,6 May 2013 2 Exponential growth Data trends Zettabytes

More information

BIG DATA IN THE CLOUD : CHALLENGES AND OPPORTUNITIES MARY- JANE SULE & PROF. MAOZHEN LI BRUNEL UNIVERSITY, LONDON

BIG DATA IN THE CLOUD : CHALLENGES AND OPPORTUNITIES MARY- JANE SULE & PROF. MAOZHEN LI BRUNEL UNIVERSITY, LONDON BIG DATA IN THE CLOUD : CHALLENGES AND OPPORTUNITIES MARY- JANE SULE & PROF. MAOZHEN LI BRUNEL UNIVERSITY, LONDON Overview * Introduction * Multiple faces of Big Data * Challenges of Big Data * Cloud Computing

More information

Big Data Big Deal for Public Sector Organizations

Big Data Big Deal for Public Sector Organizations Big Data Big Deal for Public Sector Organizations Hoàng Xuân Hiếu Director, FAB & Government Business Indochina & Myanmar 1 Copyright 2013, Oracle and/or its affiliates. All rights reserved. The following

More information

Reference Architecture, Requirements, Gaps, Roles

Reference Architecture, Requirements, Gaps, Roles Reference Architecture, Requirements, Gaps, Roles The contents of this document are an excerpt from the brainstorming document M0014. The purpose is to show how a detailed Big Data Reference Architecture

More information

Text and data analytics for social network mining

Text and data analytics for social network mining Text and data analytics for social network mining Goran Nenadic John Keane, Xiao-Jun Zeng School of Computer Science G.Nenadic@manchester.ac.uk Manchester Institute of Biotechnology Topics Aim and tasks

More information

End to End Solution to Accelerate Data Warehouse Optimization. Franco Flore Alliance Sales Director - APJ

End to End Solution to Accelerate Data Warehouse Optimization. Franco Flore Alliance Sales Director - APJ End to End Solution to Accelerate Data Warehouse Optimization Franco Flore Alliance Sales Director - APJ Big Data Is Driving Key Business Initiatives Increase profitability, innovation, customer satisfaction,

More information

1 st Symposium on Colossal Data and Networking (CDAN-2016) March 18-19, 2016 Medicaps Group of Institutions, Indore, India

1 st Symposium on Colossal Data and Networking (CDAN-2016) March 18-19, 2016 Medicaps Group of Institutions, Indore, India 1 st Symposium on Colossal Data and Networking (CDAN-2016) March 18-19, 2016 Medicaps Group of Institutions, Indore, India Call for Papers Colossal Data Analysis and Networking has emerged as a de facto

More information

Complexity and Scalability in Semantic Graph Analysis Semantic Days 2013

Complexity and Scalability in Semantic Graph Analysis Semantic Days 2013 Complexity and Scalability in Semantic Graph Analysis Semantic Days 2013 James Maltby, Ph.D 1 Outline of Presentation Semantic Graph Analytics Database Architectures In-memory Semantic Database Formulation

More information

Editor: Dr. Shalin Hai-Jew, Kansas State University, (and )

Editor: Dr. Shalin Hai-Jew, Kansas State University, (and ) 1 Call for Chapters: Data Analytics in Digital Humanities http://www.k-state.edu/id/calldataanalyticsdigitalhumanities.pdf or http://bit.ly/1gv8cog (shortlink) (Proposals due September 31, 2016, Extended)

More information

Big Data Mining: Challenges and Opportunities to Forecast Future Scenario

Big Data Mining: Challenges and Opportunities to Forecast Future Scenario Big Data Mining: Challenges and Opportunities to Forecast Future Scenario Poonam G. Sawant, Dr. B.L.Desai Assist. Professor, Dept. of MCA, SIMCA, Savitribai Phule Pune University, Pune, Maharashtra, India

More information

5 Keys to Unlocking the Big Data Analytics Puzzle. Anurag Tandon Director, Product Marketing March 26, 2014

5 Keys to Unlocking the Big Data Analytics Puzzle. Anurag Tandon Director, Product Marketing March 26, 2014 5 Keys to Unlocking the Big Data Analytics Puzzle Anurag Tandon Director, Product Marketing March 26, 2014 1 A Little About Us A global footprint. A proven innovator. A leader in enterprise analytics for

More information

Search and Data Mining: Techniques. Applications Anya Yarygina Boris Novikov

Search and Data Mining: Techniques. Applications Anya Yarygina Boris Novikov Search and Data Mining: Techniques Applications Anya Yarygina Boris Novikov Introduction Data mining applications Data mining system products and research prototypes Additional themes on data mining Social

More information

Workshop: Perspectives in understanding open access to research data infrastructure and technology challenges

Workshop: Perspectives in understanding open access to research data infrastructure and technology challenges Workshop: Perspectives in understanding open access to research data infrastructure and technology challenges Key findings on technological barriers, solutions and best practice Lorenzo Bigagli CNR-IIA

More information

Data Analytics as a Service

Data Analytics as a Service Data Analytics as a Service unleashing the power of Cloud and Big Data 05-06-2014 Big Data in a Cloud DAaaS: Data Analytics as a Service DAaaS: Data Analytics as a Service Introducing Data Analytics as

More information

Big Data Management Assessed Coursework Two Big Data vs Semantic Web F21BD

Big Data Management Assessed Coursework Two Big Data vs Semantic Web F21BD Big Data Management Assessed Coursework Two Big Data vs Semantic Web F21BD Boris Mocialov (H00180016) MSc Software Engineering Heriot-Watt University, Edinburgh April 5, 2015 1 1 Introduction The purpose

More information

Sustainable Development with Geospatial Information Leveraging the Data and Technology Revolution

Sustainable Development with Geospatial Information Leveraging the Data and Technology Revolution Sustainable Development with Geospatial Information Leveraging the Data and Technology Revolution Steven Hagan, Vice President, Server Technologies 1 Copyright 2011, Oracle and/or its affiliates. All rights

More information

Course 803401 DSS. Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analytics, and Visualization

Course 803401 DSS. Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analytics, and Visualization Oman College of Management and Technology Course 803401 DSS Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analytics, and Visualization CS/MIS Department Information Sharing

More information

Big Data and Healthcare Payers WHITE PAPER

Big Data and Healthcare Payers WHITE PAPER Knowledgent White Paper Series Big Data and Healthcare Payers WHITE PAPER Summary With the implementation of the Affordable Care Act, the transition to a more member-centric relationship model, and other

More information

ICT Perspectives on Big Data: Well Sorted Materials

ICT Perspectives on Big Data: Well Sorted Materials ICT Perspectives on Big Data: Well Sorted Materials 3 March 2015 Contents Introduction 1 Dendrogram 2 Tree Map 3 Heat Map 4 Raw Group Data 5 For an online, interactive version of the visualisations in

More information

BIG DATA & ANALYTICS. Transforming the business and driving revenue through big data and analytics

BIG DATA & ANALYTICS. Transforming the business and driving revenue through big data and analytics BIG DATA & ANALYTICS Transforming the business and driving revenue through big data and analytics Collection, storage and extraction of business value from data generated from a variety of sources are

More information

Pentaho High-Performance Big Data Reference Configurations using Cisco Unified Computing System

Pentaho High-Performance Big Data Reference Configurations using Cisco Unified Computing System Pentaho High-Performance Big Data Reference Configurations using Cisco Unified Computing System By Jake Cornelius Senior Vice President of Products Pentaho June 1, 2012 Pentaho Delivers High-Performance

More information

AEGLE: a reference big data architecture for the healthcare sector

AEGLE: a reference big data architecture for the healthcare sector AEGLE: a reference big data architecture for the healthcare sector jos.dumortier@timelex.eu Amsterdam, 7 June 2016 Introduction Horizon 2020 Innovation Action Partners from Belgium, France, Greece, Italy,

More information

secure intelligence collection and assessment system Your business technologists. Powering progress

secure intelligence collection and assessment system Your business technologists. Powering progress secure intelligence collection and assessment system Your business technologists. Powering progress The decisive advantage for intelligence services The rising mass of data items from multiple sources

More information

TURN YOUR DATA INTO KNOWLEDGE

TURN YOUR DATA INTO KNOWLEDGE TURN YOUR DATA INTO KNOWLEDGE 100% open source Business Intelligence and Big Data Analytics www.spagobi.org @spagobi Copyright 2016 Engineering Group, SpagoBI Labs. All rights reserved. Why choose SpagoBI

More information

Big Data Analytics in Space Exploration and Entrepreneurship

Big Data Analytics in Space Exploration and Entrepreneurship Space Society of Silicon Valley Big Data Analytics in Space Exploration and Entrepreneurship Tiffani Crawford, PhD January 14, 2015 Big Data Analytics Data Characteristics Large quantities of many data

More information

Big Data R&D Initiative

Big Data R&D Initiative Big Data R&D Initiative Howard Wactlar CISE Directorate National Science Foundation NIST Big Data Meeting June, 2012 Image Credit: Exploratorium. The Landscape: Smart Sensing, Reasoning and Decision Environment

More information

Chapter 5 Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analytics, and Visualization

Chapter 5 Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analytics, and Visualization Turban, Aronson, and Liang Decision Support Systems and Intelligent Systems, Seventh Edition Chapter 5 Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analytics, and Visualization

More information

fédération de données et de ConnaissancEs Distribuées en Imagerie BiomédicaLE Data fusion, semantic alignment, distributed queries

fédération de données et de ConnaissancEs Distribuées en Imagerie BiomédicaLE Data fusion, semantic alignment, distributed queries fédération de données et de ConnaissancEs Distribuées en Imagerie BiomédicaLE Data fusion, semantic alignment, distributed queries Johan Montagnat CNRS, I3S lab, Modalis team on behalf of the CrEDIBLE

More information

BIG DATA Alignment of Supply & Demand Nuria de Lama Representative of Atos Research &

BIG DATA Alignment of Supply & Demand Nuria de Lama Representative of Atos Research & BIG DATA Alignment of Supply & Demand Nuria de Lama Representative of Atos Research & Innovation 04-08-2011 to the EC 8 th February, Luxembourg Your Atos business Research technologists. and Innovation

More information

Revealing Trends and Insights in Online Hiring Market Using Linking Open Data Cloud: Active Hiring a Use Case Study

Revealing Trends and Insights in Online Hiring Market Using Linking Open Data Cloud: Active Hiring a Use Case Study Revealing Trends and Insights in Online Hiring Market Using Linking Open Data Cloud: Active Hiring a Use Case Study Amar-Djalil Mezaour 1, Julien Law-To 1, Robert Isele 3, Thomas Schandl 2, and Gerd Zechmeister

More information

The Impact of SAP S/4HANA on Exisiting Enterprise Architecture from SAP. Erich Schneider & Martin Mysyk SAP Session ID#5749

The Impact of SAP S/4HANA on Exisiting Enterprise Architecture from SAP. Erich Schneider & Martin Mysyk SAP Session ID#5749 The Impact of SAP S/4HANA on Exisiting Enterprise Architecture from SAP Erich Schneider & Martin Mysyk SAP Session ID#5749 BUSINESS, IT AND THE DIGITAL ECONOMY Hyper Connectivity Super Computing Smart

More information

HOW TO DO A SMART DATA PROJECT

HOW TO DO A SMART DATA PROJECT April 2014 Smart Data Strategies HOW TO DO A SMART DATA PROJECT Guideline www.altiliagroup.com Summary ALTILIA s approach to Smart Data PROJECTS 3 1. BUSINESS USE CASE DEFINITION 4 2. PROJECT PLANNING

More information

Dynamic Data Analytics for the Internet of Things: Challenges and Opportunities

Dynamic Data Analytics for the Internet of Things: Challenges and Opportunities Dynamic Data Analytics for the Internet of Things: Challenges and Opportunities Payam Barnaghi Institute for Communication Systems (ICS) University of Surrey/CityPulse Consortium Guildford, United Kingdom

More information

Data collection architecture for Big Data

Data collection architecture for Big Data Data collection architecture for Big Data a framework for a research agenda (Research in progress - ERP Sense Making of Big Data) Wout Hofman, May 2015, BDEI workshop 2 Big Data succes stories bias our

More information

An analysis of Big Data ecosystem from an HCI perspective.

An analysis of Big Data ecosystem from an HCI perspective. An analysis of Big Data ecosystem from an HCI perspective. Jay Sanghvi Rensselaer Polytechnic Institute For: Theory and Research in Technical Communication and HCI Rensselaer Polytechnic Institute Wednesday,

More information

Cloud Computing and the Future of Internet Services. Wei-Ying Ma Principal Researcher, Research Area Manager Microsoft Research Asia

Cloud Computing and the Future of Internet Services. Wei-Ying Ma Principal Researcher, Research Area Manager Microsoft Research Asia Cloud Computing and the Future of Internet Services Wei-Ying Ma Principal Researcher, Research Area Manager Microsoft Research Asia Computing as Utility Grid Computing Web Services in the Cloud What is

More information

BIG DATA: PROMISE, POWER AND PITFALLS NISHANT MEHTA

BIG DATA: PROMISE, POWER AND PITFALLS NISHANT MEHTA BIG DATA: PROMISE, POWER AND PITFALLS NISHANT MEHTA Agenda Promise Definition Drivers of and for Big Data Increase revenue using Big Data Power Optimize operations and decrease costs Discover new revenue

More information

Chapter 5. Warehousing, Data Acquisition, Data. Visualization

Chapter 5. Warehousing, Data Acquisition, Data. Visualization Decision Support Systems and Intelligent Systems, Seventh Edition Chapter 5 Business Intelligence: Data Warehousing, Data Acquisition, Data Mining, Business Analytics, and Visualization 5-1 Learning Objectives

More information

Big Data - Infrastructure Considerations

Big Data - Infrastructure Considerations April 2014, HAPPIEST MINDS TECHNOLOGIES Big Data - Infrastructure Considerations Author Anand Veeramani / Deepak Shivamurthy SHARING. MINDFUL. INTEGRITY. LEARNING. EXCELLENCE. SOCIAL RESPONSIBILITY. Copyright

More information

Enhance Collaboration and Data Sharing for Faster Decisions and Improved Mission Outcome

Enhance Collaboration and Data Sharing for Faster Decisions and Improved Mission Outcome Enhance Collaboration and Data Sharing for Faster Decisions and Improved Mission Outcome Richard Breakiron Senior Director, Cyber Solutions Rbreakiron@vion.com Office: 571-353-6127 / Cell: 803-443-8002

More information

Integrating a Big Data Platform into Government:

Integrating a Big Data Platform into Government: Integrating a Big Data Platform into Government: Drive Better Decisions for Policy and Program Outcomes John Haddad, Senior Director Product Marketing, Informatica Digital Government Institute s Government

More information

This Symposium brought to you by www.ttcus.com

This Symposium brought to you by www.ttcus.com This Symposium brought to you by www.ttcus.com Linkedin/Group: Technology Training Corporation @Techtrain Technology Training Corporation www.ttcus.com Big Data Analytics as a Service (BDAaaS) Big Data

More information

Effective Data Integration - where to begin. Bryte Systems

Effective Data Integration - where to begin. Bryte Systems Effective Data Integration - where to begin Bryte Systems making data work Bryte Systems specialises is providing innovative and cutting-edge data integration and data access solutions and products to

More information

Linked Data for the Enterprise: Opportunities and Challenges

Linked Data for the Enterprise: Opportunities and Challenges Linked Data for the Enterprise: Opportunities and Challenges Marin Dimitrov (Ontotext) Semantic Days 2012, Stavanger About Ontotext Provides software and expertise for creating, managing and exploiting

More information

The IBM Solution Architecture for Energy and Utilities Framework

The IBM Solution Architecture for Energy and Utilities Framework IBM Solution Architecture for Energy and Utilities Framework Accelerating Solutions for Smarter Utilities The IBM Solution Architecture for Energy and Utilities Framework Providing a foundation for solutions

More information

GEOGRAPHIC CONTEXT ANALYSIS OF VOLUNTEERED INFORMATION

GEOGRAPHIC CONTEXT ANALYSIS OF VOLUNTEERED INFORMATION GEOGRAPHIC CONTEXT ANALYSIS OF VOLUNTEERED INFORMATION (GEOCONAVI) Frank O. Ostermann COST Energic Meeting 26.05.2014, Zürich GEOGRAPHIC CONTEXT ANALYSIS OF VOLUNTEERED INFORMATION PRESENTATION OVERVIEW

More information

Kimmo Rossi. European Commission DG CONNECT

Kimmo Rossi. European Commission DG CONNECT Kimmo Rossi European Commission DG CONNECT Unit G.3 - Data Value Chain SC1 info day, Brussels 5/12/2014 1 What we do Unit CNECT.G3 Data Value Chain FP7/CIP/H2020 project portfolio: Big Data, analytics,

More information

Capturing the Structure of IoT Systems with Graph Databases

Capturing the Structure of IoT Systems with Graph Databases Capturing the Structure of IoT Systems with Graph Databases Gilles Privat Dana Popovici Orange Labs Grenoble, France for open bidirectional multiscale data mediation 1 Outline What IoT is about Data models

More information

eresearch Australasia 2007

eresearch Australasia 2007 Imagine. eresearch Australasia 2007 Imagine if you could Create a collaborative research web site at the click of a button Securely share data, reports, clinical studies, whitepapers and more amongst the

More information

Semantic Technologies: Linked Data and OER

Semantic Technologies: Linked Data and OER Semantic Technologies: Linked Data and OER Opening and linking the data and content silos, to leverage the knowledge capital represented by our OER repositories Edmundo Tovar (UPM etovar@fi.upm.es ) Nelson

More information

Recent and Future Activities in HPC and Scientific Data Management Siegfried Benkner

Recent and Future Activities in HPC and Scientific Data Management Siegfried Benkner Recent and Future Activities in HPC and Scientific Data Management Siegfried Benkner Research Group Scientific Computing Faculty of Computer Science University of Vienna AUSTRIA http://www.par.univie.ac.at

More information

An Insight into BI in Belgium

An Insight into BI in Belgium An Insight into BI in Belgium Information Insight 2014, Bruxelles 2014 Dr. Carsten Bange Business Application Research Center (BARC) Status Quo and Trends in BI It s Difficult to Make Predictions, Especially

More information

Big Data for smart infrastructure: London Bridge Station Redevelopment. Sinan Ackigoz & Krishna Kumar 10.09.15 Cambridge, UK

Big Data for smart infrastructure: London Bridge Station Redevelopment. Sinan Ackigoz & Krishna Kumar 10.09.15 Cambridge, UK Big Data for smart infrastructure: London Bridge Station Redevelopment Sinan Ackigoz & Krishna Kumar 10.09.15 Cambridge, UK Redeveloping the redeveloped station 1972 vision 2012 vision 1972 Vision: Two

More information

Oracle Big Data Building A Big Data Management System

Oracle Big Data Building A Big Data Management System Oracle Big Building A Big Management System Copyright 2015, Oracle and/or its affiliates. All rights reserved. Effi Psychogiou ECEMEA Big Product Director May, 2015 Safe Harbor Statement The following

More information

Data Virtualization A Potential Antidote for Big Data Growing Pains

Data Virtualization A Potential Antidote for Big Data Growing Pains perspective Data Virtualization A Potential Antidote for Big Data Growing Pains Atul Shrivastava Abstract Enterprises are already facing challenges around data consolidation, heterogeneity, quality, and

More information

The Data Reservoir as an enabler of differentiating Analytics initiatives

The Data Reservoir as an enabler of differentiating Analytics initiatives Mandy Chessell CBE FREng CEng FBCS Distinguished Engineer, Master Inventor Chief Architect, Solutions The Reservoir as an enabler of differentiating Analytics initiatives 3 rd March 2015 Agenda Changing

More information

ANALYTICS STRATEGY: creating a roadmap for success

ANALYTICS STRATEGY: creating a roadmap for success ANALYTICS STRATEGY: creating a roadmap for success Companies in the capital and commodity markets are looking at analytics for opportunities to improve revenue and cost savings. Yet, many firms are struggling

More information

Cloud Computing. Final Report

Cloud Computing. Final Report Cloud Computing Final Report Prepared For: Novell Harris Interactive Inc. Prepared By: Public Relations Research Page 1 of 7 September 24, 2010 Background and Objectives To better understand the current

More information

IEEE IoT IoT Scenario & Use Cases: Social Sensors

IEEE IoT IoT Scenario & Use Cases: Social Sensors IEEE IoT IoT Scenario & Use Cases: Social Sensors Service Description More and more, people have the possibility to monitor important parameters in their home or in their surrounding environment. As an

More information

ANALYTICS IN BIG DATA ERA

ANALYTICS IN BIG DATA ERA ANALYTICS IN BIG DATA ERA ANALYTICS TECHNOLOGY AND ARCHITECTURE TO MANAGE VELOCITY AND VARIETY, DISCOVER RELATIONSHIPS AND CLASSIFY HUGE AMOUNT OF DATA MAURIZIO SALUSTI SAS Copyr i g ht 2012, SAS Ins titut

More information

INTERNATIONAL MASTER IN BUSINESS ANALYTICS AND BIG DATA

INTERNATIONAL MASTER IN BUSINESS ANALYTICS AND BIG DATA POLITECNICO DI MILANO GRADUATE SCHOOL OF BUSINESS BABD INTERNATIONAL MASTER IN BUSINESS ANALYTICS AND BIG DATA Courses Description A JOINT PROGRAM WITH POLITECNICO DI MILANO SCHOOL OF MANAGEMENT PRE-COURSES

More information

HDP Enabling the Modern Data Architecture

HDP Enabling the Modern Data Architecture HDP Enabling the Modern Data Architecture Herb Cunitz President, Hortonworks Page 1 Hortonworks enables adoption of Apache Hadoop through HDP (Hortonworks Data Platform) Founded in 2011 Original 24 architects,

More information

JAVA IEEE 2015. 6 Privacy Policy Inference of User-Uploaded Images on Content Sharing Sites Data Mining

JAVA IEEE 2015. 6 Privacy Policy Inference of User-Uploaded Images on Content Sharing Sites Data Mining S.NO TITLES Domains 1 Anonymity-based Privacy-preserving Data Reporting for Participatory Sensing 2 Anonymizing Collections of Tree-Structured Data 3 Making Digital Artifacts on the Web Verifiable and

More information

Big Data Analytics for Space Exploration, Entrepreneurship and Policy Opportunities. Tiffani Crawford, PhD

Big Data Analytics for Space Exploration, Entrepreneurship and Policy Opportunities. Tiffani Crawford, PhD Big Analytics for Space Exploration, Entrepreneurship and Policy Opportunities Tiffani Crawford, PhD Big Analytics Characteristics Large quantities of many data types Structured Unstructured Human Machine

More information

IO Informatics The Sentient Suite

IO Informatics The Sentient Suite IO Informatics The Sentient Suite Our software, The Sentient Suite, allows a user to assemble, view, analyze and search very disparate information in a common environment. The disparate data can be numeric

More information

Cloud computing based big data ecosystem and requirements

Cloud computing based big data ecosystem and requirements Cloud computing based big data ecosystem and requirements Yongshun Cai ( 蔡 永 顺 ) Associate Rapporteur of ITU T SG13 Q17 China Telecom Dong Wang ( 王 东 ) Rapporteur of ITU T SG13 Q18 ZTE Corporation Agenda

More information

Water Education through Stories Using Open and Big Data

Water Education through Stories Using Open and Big Data Water Education through Stories Using Open and Big Data 2015 Sustaining Colorado s Watersheds, October 8, 2015 Steve Malers, Open Water Foundation steve.malers@openwaterfoundation.org www.openwaterfoundation.org

More information

Survey of Big Data Architecture and Framework from the Industry

Survey of Big Data Architecture and Framework from the Industry Survey of Big Data Architecture and Framework from the Industry NIST Big Data Public Working Group Sanjay Mishra May13, 2014 3/19/2014 NIST Big Data Public Working Group 1 NIST BD PWG Survey of Big Data

More information

fédération de données et de ConnaissancEs Distribuées en Imagerie BiomédicaLE Data fusion, semantic alignment, distributed queries

fédération de données et de ConnaissancEs Distribuées en Imagerie BiomédicaLE Data fusion, semantic alignment, distributed queries fédération de données et de ConnaissancEs Distribuées en Imagerie BiomédicaLE Data fusion, semantic alignment, distributed queries Johan Montagnat CNRS, I3S lab, Modalis team on behalf of the CrEDIBLE

More information

SAP HANA Vora : Gain Contextual Awareness for a Smarter Digital Enterprise

SAP HANA Vora : Gain Contextual Awareness for a Smarter Digital Enterprise Frequently Asked Questions SAP HANA Vora SAP HANA Vora : Gain Contextual Awareness for a Smarter Digital Enterprise SAP HANA Vora software enables digital businesses to innovate and compete through in-the-moment

More information

IEEE International Conference on Computing, Analytics and Security Trends CAST-2016 (19 21 December, 2016) Call for Paper

IEEE International Conference on Computing, Analytics and Security Trends CAST-2016 (19 21 December, 2016) Call for Paper IEEE International Conference on Computing, Analytics and Security Trends CAST-2016 (19 21 December, 2016) Call for Paper CAST-2015 provides an opportunity for researchers, academicians, scientists and

More information

How to Leverage Big Data in the Cloud to Gain Competitive Advantage

How to Leverage Big Data in the Cloud to Gain Competitive Advantage How to Leverage Big Data in the Cloud to Gain Competitive Advantage James Kobielus, IBM Big Data Evangelist Editor-in-Chief, IBM Data Magazine Senior Program Director, Product Marketing, Big Data Analytics

More information

THE POWER OF BIG DATA

THE POWER OF BIG DATA THE POWER OF BIG DATA A HANDS-ON WORKSHOP ON HOW TO CREATE VALUE FROM YOUR EVER-GROWING MOUNTAIN OF DATA 7 MEI 2015 AMSTERDAM SCIENCE PARK THE POWER OF BIG DATA A HANDS-ON WORKSHOP ON HOW TO CREATE VALUE

More information

APPENDIX to http://dx.doi.org/10.4338/aci-2014-09-ra-0083 CAHIIM 2012 Curriculum Requirements Health Informatics Master s Degree

APPENDIX to http://dx.doi.org/10.4338/aci-2014-09-ra-0083 CAHIIM 2012 Curriculum Requirements Health Informatics Master s Degree APPENDIX to http://dx.doi.org/10.4338/aci-2014-09-ra-0083 CAHIIM 2012 Curriculum Requirements Health Informatics Master s Degree Column 1 - Health Informatics Facet I. Information Systems concerned with

More information

SHARING THREAT INTELLIGENCE ANALYTICS FOR COLLABORATIVE ATTACK ANALYSIS

SHARING THREAT INTELLIGENCE ANALYTICS FOR COLLABORATIVE ATTACK ANALYSIS SHARING THREAT INTELLIGENCE ANALYTICS FOR COLLABORATIVE ATTACK ANALYSIS Samir Saklikar RSA, The Security Division of EMC Session ID: CLE T05 Session Classification: Intermediate Agenda Advanced Targeted

More information

NTT DATA Big Data Reference Architecture Ver. 1.0

NTT DATA Big Data Reference Architecture Ver. 1.0 NTT DATA Big Data Reference Architecture Ver. 1.0 Big Data Reference Architecture is a joint work of NTT DATA and EVERIS SPAIN, S.L.U. Table of Contents Chap.1 Advance of Big Data Utilization... 2 Chap.2

More information

EL Program: Smart Manufacturing Systems Design and Analysis

EL Program: Smart Manufacturing Systems Design and Analysis EL Program: Smart Manufacturing Systems Design and Analysis Program Manager: Dr. Sudarsan Rachuri Associate Program Manager: K C Morris Strategic Goal: Smart Manufacturing, Construction, and Cyber-Physical

More information

Data Warehousing in the Age of Big Data

Data Warehousing in the Age of Big Data Data Warehousing in the Age of Big Data Krish Krishnan AMSTERDAM BOSTON HEIDELBERG LONDON NEW YORK OXFORD * PARIS SAN DIEGO SAN FRANCISCO SINGAPORE SYDNEY TOKYO Morgan Kaufmann is an imprint of Elsevier

More information

From Big Data to Smart Data Thomas Hahn

From Big Data to Smart Data Thomas Hahn Siemens Future Forum @ HANNOVER MESSE 2014 From Big to Smart Hannover Messe 2014 The Evolution of Big Digital data ~ 1960 warehousing ~1986 ~1993 Big data analytics Mining ~2015 Stream processing Digital

More information

redesigning the data landscape to deliver true business intelligence Your business technologists. Powering progress

redesigning the data landscape to deliver true business intelligence Your business technologists. Powering progress redesigning the data landscape to deliver true business intelligence Your business technologists. Powering progress The changing face of data complexity The storage, retrieval and management of data has

More information

Software Engineering for Big Data. CS846 Paulo Alencar David R. Cheriton School of Computer Science University of Waterloo

Software Engineering for Big Data. CS846 Paulo Alencar David R. Cheriton School of Computer Science University of Waterloo Software Engineering for Big Data CS846 Paulo Alencar David R. Cheriton School of Computer Science University of Waterloo Big Data Big data technologies describe a new generation of technologies that aim

More information

SIMPLE MACHINE HEURISTIC INTELLIGENT AGENT FRAMEWORK

SIMPLE MACHINE HEURISTIC INTELLIGENT AGENT FRAMEWORK SIMPLE MACHINE HEURISTIC INTELLIGENT AGENT FRAMEWORK Simple Machine Heuristic (SMH) Intelligent Agent (IA) Framework Tuesday, November 20, 2011 Randall Mora, David Harris, Wyn Hack Avum, Inc. Outline Solution

More information

Publishing Linked Data Requires More than Just Using a Tool

Publishing Linked Data Requires More than Just Using a Tool Publishing Linked Data Requires More than Just Using a Tool G. Atemezing 1, F. Gandon 2, G. Kepeklian 3, F. Scharffe 4, R. Troncy 1, B. Vatant 5, S. Villata 2 1 EURECOM, 2 Inria, 3 Atos Origin, 4 LIRMM,

More information