Towards a Thriving Data Economy: Open Data, Big Data, and Data Ecosystems

Size: px
Start display at page:

Download "Towards a Thriving Data Economy: Open Data, Big Data, and Data Ecosystems"

Transcription

1 Towards a Thriving Data Economy: Open Data, Big Data, and Data Ecosystems Volker Markl dima.tu-berlin.de dfki.de/web/research/iam/ bbdc.berlin Based on my 2014 Vision Paper On Declarative Data Analysis and Data Independence in the Big Data Era PVLDB 7(13): Presentation to the European Competitiveness Council on March 3 rd, Berlin Big Data Center All Rights Reserved Volker Markl

2 More and more data is available to science and businesses! sensor data web archives Drivers: Cloud Computing Internet of Services Internet of Things Cyber Physical Systems video streams audio streams RFID data simulation data Underlying Trends: Connectivity Collaboration Computer Generated Data 2 2 Volker Markl

3 ML ML Data & Analysis: Increasingly Complex! scalability algorithms DM data volume too large data rate too fast data too heterogeneous data too uncertain Data Volume Velocity Variability Veracity Reporting Ad-Hoc Queries ETL/Integration aggregation, selection SQL, XQuery Map/Reduce Data Mining MATLAB, R, Python Predictive/Prescriptive MATLAB, R, Python Analysis DM scalability algorithms Berlin Big Data Center All Rights Reserved 3 Volker Markl

4 Data-driven applications lifecycle management home automation health e-sciences water management market research information marketplaces transportation energy management will revolutionize decision-making in business and the sciences! have great economic potential! 4 4 Volker Markl

5 Opportunities in Individual Sectors Sectors/Domains Big Data Value Source Public Administration Healthcare & Social Care Utilities Transport and Logistics Retail & Trade Geospatial Applications & Services EUR 150 billion to EUR 300 billion in new value (Considering EU 23 larger governments) EUR 90 billion considering only the reduction of national healthcare expenditure in the EU Reduce CO2 emissions by more than 2 gigatonnes, equivalent to EUR 79 billion (Global figure) USD 500 billion in value worldwide in the form of time and fuel savings, or 380 megatonnes of CO2 emissions saved 60% potential increase in retailers operating margins possible with Big Data USD 800 billion in revenue to service providers and value to consumer and business end users USD 51 billion worldwide directly associated to Big Data market (Services and applications) OECD, 2013 McKinsey Global Institute, 2011 OECD, 2013 OECD, 2013 McKinsey Global Institute, 2011 McKinsey Global Institute, 2011 Various, 5 5 Volker Markl

6 Data Value Chains will succeed only when individual links operate with needed capabilities Social & Economic Benefits Several European companies and in particular research institutions and startups have created interesting technologies and services along the data value chain. However, both in business & science, data use is handled in a fragmented way. In particular SMEs lack skills to capitalize on data assets in order to improve their competetiveness. Actors along the data value chain should cooperate and form the basis of a strong and vibrant data-driven ecosystem to maximise big data value creation. 6 6 Volker Markl

7 Data Scientist Jack of All Trades! Domain Expertise (e.g., Industry 4.0, Medicine, Physics, Engineering, Energy, Logistics) Mathematical Programming Linear Algebra Stochastic Gradient Descent Error Estimation Active Sampling Regression Monte Carlo Statistics Sketches Hashing Application Data Science Relational Algebra / SQL Data Warehouse/OLAP NF 2 /XQuery Resource Management Hardware Adaptation Fault Tolerance Memory Management Parallelization Scalability Memory Hierarchy Convergence Decoupling Iterative Algorithms Curse of Dimensionality Control Flow Data Analysis Language Compiler Query Optimization Indexing Data Flow Real-Time Berlin Big Data Center All Rights Reserved 7 Volker Markl

8 Data Science Requires Systems Programming! Data Analysis Statistics Algebra Optimization Machine Learning NLP Signal Processing Image Analysis Audio-,Video Analysis Information Integration Information Extraction Data Value Chain Data Analysis Process Predictive Analytics R/Matlab: 3 million users Hadoop: 100,000 users People with Big Data Analytics Skills Indexing Parallelization Communication Memory Management Query Optimization Efficient Algorithms Resource Management Fault Tolerance Numerical Stability We cannot address the complexity of Data Science merely by teaching it. We need new technologies to empower more people to conduct deep analysis on big data! 8 8 Volker Markl

9 Simple Analysis Deep Analytics Deep Analysis of Big Data is Key to Competetiveness! Small Data Big Data (3V) The established vendors and exisiting products are falling short of the needs; new technologies, systems, platforms, and services for deep analytics are emerging Berlin Big Data Center All Rights Reserved 9 Volker Markl

10 Simple Analysis Deep Analytics The cards are dealt anew! Apache Flink IBM BigInsights Small Data Big Data (3V) Many new companies and products are emerging to enable deep big data analysis; strong European contenders include Apache Flink, SAP HANA, Parstream, and Exasol Volker Markl

11 The Five Dimensions of the Data Economy Competitive Intelligence Industry 4.0/IoT Energy Healthcare Transportation Digital Humanities Application Dimension Scalable Data Processing Data Management Signal Processing Statistics/ML Linguistics/Text&Speech Novel Computer Architectures HCI/Visualization Technology Dimension Legal Dimension Systems Frameworks Skills Best-Practices Tools Economic Dimension Ownership Copyright/IPR Liability Insolvency Privacy Social Dimension User Behaviour Societal Impact Collaboration Business Models Benchmarking Open Source & Open Data Deployment Models Information Pricing Information Marketplaces Volker Markl

12 PPP: Uniting the Actors Main industry drivers: ATOS (ES), Engineering (IT), DFKI (DE), Fraunhofer (DE), Nokia Networks and Solutions (FI), Orange (FR), SAP (DE), SIEMENS (DE), Software AG (DE), Thales (FR), TIE Kinetix (NL) Have worked on a Strategic Research & Innovation Agenda (SRIA) for period (regular updates during the running of the PPP) Lighthouse Projects (e.g., on health, logistics, energy) Innovation spaces will offer secure environments for experimenting with both private and open data; will also act as business incubators and hubs for the development of skills, competence and best practices Volker Markl

13 Call to Action: Data Ecosystem for Europe Educate Data Scientists to Create the Required Talent Information Literacy -shaped Students (computer science/data management and mathematics/data analysis skills, combined with application, legal, and social skills) Enhance the e-competencies framework with data skills and job profiles Research Data Analytics Technologies, Systems and Platforms Simplified programming, large-scale data management, and novel hardware Scalable machine learning, statistical methods, and mathematical programming Information marketplaces, large-scale data stream processing and visual analytics Innovate to Maintain Competitiveness Create networks of national centers of excellence in big and open data Provide data, processing and analytics capabilities through information marketplaces Demonstrate flagship use-cases to raise awareness & solve real-world problems Startups are key innovation drivers in this field promote startups in the area of data analytics technologies, information marketplaces, and applications Raise awareness of data value and analysis value in enterprises and governments (Chief Data Scientist) and transfer technologies to enterprises, in particular SMEs Determine legal frameworks and business models Create a data ecosystem We need synchronized national and European data strategies to ensure a European technological leadership role in the Data Economy from a technology, analysis and application perspective addressing all five dimensions in the Data Value Chain! Volker Markl

Big Data Analytics. Chances and Challenges. Volker Markl

Big Data Analytics. Chances and Challenges. Volker Markl Volker Markl Professor and Chair Database Systems and Information Management (DIMA), Technische Universität Berlin www.dima.tu-berlin.de Big Data Analytics Chances and Challenges Volker Markl DIMA BDOD

More information

Towards a data-driven economy in Europe

Towards a data-driven economy in Europe Towards a data-driven economy in Europe Trusting Big Data Trust in the Digital World Conference 26 February 2015 Dr. Márta NAGY-ROTHENGASS Head of Unit CNECT.G3 (Data Value Chain) Why is data-driven economy

More information

Synergies between the Big Data Value (BDV) Public Private Partnership and the Helix Nebula Initiative (HNI)

Synergies between the Big Data Value (BDV) Public Private Partnership and the Helix Nebula Initiative (HNI) Synergies between the Big Data Value (BDV) Public Private Partnership and the Helix Nebula Initiative (HNI) Sergio Andreozzi Strategy & Policy Manager, EGI.eu The Helix Nebula Initiative & PICSE: Towards

More information

Big Data Research in Berlin BBDC and Apache Flink

Big Data Research in Berlin BBDC and Apache Flink Big Data Research in Berlin BBDC and Apache Flink Tilmann Rabl rabl@tu-berlin.de dima.tu-berlin.de bbdc.berlin 1 2013 Berlin Big Data Center All Rights Reserved DIMA 2015 Agenda About Data Management,

More information

RETHINK big Project. European Data Economy Workshop-Focus Data Value Chain & Big and Open Data

RETHINK big Project. European Data Economy Workshop-Focus Data Value Chain & Big and Open Data RETHINK big Project Consuelo GONZALO MARTÍN UNIVERSIDAD POLITÉCNICA DE MADRID 15th September 2015 European Data Economy Workshop-Focus Data Value Chain & Big and Open Data www.rethinkbig-project.eu This

More information

Vivir en un mar de Datos 2015: Big Data una mirada Global Fundación Telefónica

Vivir en un mar de Datos 2015: Big Data una mirada Global Fundación Telefónica RETHINK big Project Consuelo GONZALO MARTÍN UNIVERSIDAD POLITÉCNICA DE MADRID 24 March 2015 Vivir en un mar de Datos 2015: Big Data una mirada Global Fundación Telefónica www.rethinkbig-project.eu This

More information

Big Data Analytics. Chances and Challenges. Volker Markl

Big Data Analytics. Chances and Challenges. Volker Markl Volker Markl Professor and Chair Database Systems and Information Management (DIMA), Technische Universität Berlin www.dima.tu-berlin.de Big Data Analytics Chances and Challenges Volker Markl DIMA BDOD

More information

Big Data and Copernicus: A new paradigm

Big Data and Copernicus: A new paradigm Big Data and Copernicus: A new paradigm Florin SERBAN Managing Director, TERRASIGNA The Copernicus Value-Chain Workshop, 26-27 April 2016 1 GENERAL BIG Data what is it all about BIG Data VALUE cppp & BDVA

More information

DGE /DG Connect. 25-6-2015 www.bdva.eu

DGE /DG Connect. 25-6-2015 www.bdva.eu DGE /DG Connect 1 CHALLENGES, SOLUTIONS AND VISIONS FOR THE EUROPEAN DATA ECONOMY Laure Le Bars SAP 2 BIG DATA WHAT S IT ALL ABOUT www.bdva.eu 25-6-2015 3 When is Data Big? Volume Velocity Variety Veracity

More information

Leveraging Big Data Value Towards a Data-driven Europe with joint PPP efforts

Leveraging Big Data Value Towards a Data-driven Europe with joint PPP efforts Leveraging Big Data Value Towards a Data-driven Europe with joint PPP efforts Fraunhofer-Institute for Intelligent Analysis and Information Systems IAIS Fraunhofer Alliance Big Data European Big Data Value

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

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

Enterprise Application Enablement for the Internet of Things

Enterprise Application Enablement for the Internet of Things Enterprise Application Enablement for the Internet of Things Prof. Dr. Uwe Kubach VP Internet of Things Platform, P&I Technology, SAP SE Public Internet of Things (IoT) Trends 12 50 bn 40 50 % Devices

More information

Exploiting the power of Big Data

Exploiting the power of Big Data Exploiting the power of Big Data Timos Sellis School of Computer Science and Information Technology timos.sellis@rmit.edu.au ITECHLAW Asia-Pacific Conference, February 26-28, 2014 Melbourne Australia Timeline

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

From Raw Data to. Actionable Insights with. MATLAB Analytics. Learn more. Develop predictive models. 1Access and explore data

From Raw Data to. Actionable Insights with. MATLAB Analytics. Learn more. Develop predictive models. 1Access and explore data 100 001 010 111 From Raw Data to 10011100 Actionable Insights with 00100111 MATLAB Analytics 01011100 11100001 1 Access and Explore Data For scientists the problem is not a lack of available but a deluge.

More information

The Database Systems and Information Management Group at Technische Universität Berlin

The Database Systems and Information Management Group at Technische Universität Berlin Group at Technische Universität Berlin 1 Introduction Group, in German known by the acronym DIMA, is part of the Department of Software Engineering and Theoretical Computer Science at the TU Berlin. It

More information

ANALYTICS CENTER LEARNING PROGRAM

ANALYTICS CENTER LEARNING PROGRAM Overview of Curriculum ANALYTICS CENTER LEARNING PROGRAM The following courses are offered by Analytics Center as part of its learning program: Course Duration Prerequisites 1- Math and Theory 101 - Fundamentals

More information

PICTURE Project Final Event. 21 May 2014 Minsk, Belarus

PICTURE Project Final Event. 21 May 2014 Minsk, Belarus PICTURE Project Final Event 21 May 2014 Minsk, Belarus NESSI recent activities on Big Data and S/W Engineering Yannis Kliafas, ATC NESSI & EC Software Engineering Workshop; 26 May 2014 2 NESSI is the European

More information

Exploiting Data at Rest and Data in Motion with a Big Data Platform

Exploiting Data at Rest and Data in Motion with a Big Data Platform Exploiting Data at Rest and Data in Motion with a Big Data Platform Sarah Brader, sarah_brader@uk.ibm.com What is Big Data? Where does it come from? 12+ TBs of tweet data every day 30 billion RFID tags

More information

Ernestina Menasalvas Universidad Politécnica de Madrid

Ernestina Menasalvas Universidad Politécnica de Madrid Ernestina Menasalvas Universidad Politécnica de Madrid EECA Cluster networking event RITA 12th november 2014, Baku Sectors/Domains Big Data Value Source Public administration EUR 150 billion to EUR 300

More information

BIG DATA STRATEGY. Rama Kattunga Chair at American institute of Big Data Professionals. Building Big Data Strategy For Your Organization

BIG DATA STRATEGY. Rama Kattunga Chair at American institute of Big Data Professionals. Building Big Data Strategy For Your Organization BIG DATA STRATEGY Rama Kattunga Chair at American institute of Big Data Professionals Building Big Data Strategy For Your Organization In this session What is Big Data? Prepare your organization Building

More information

How does Big Data disrupt the technology ecosystem of the public cloud?

How does Big Data disrupt the technology ecosystem of the public cloud? How does Big Data disrupt the technology ecosystem of the public cloud? Copyright 2012 IDC. Reproduction is forbidden unless authorized. All rights reserved. Agenda Market trends 2020 Vision Introduce

More information

Are You Ready for Big Data?

Are You Ready for Big Data? Are You Ready for Big Data? Jim Gallo National Director, Business Analytics February 11, 2013 Agenda What is Big Data? How do you leverage Big Data in your company? How do you prepare for a Big Data initiative?

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

Customized Report- Big Data

Customized Report- Big Data GINeVRA Digital Research Hub Customized Report- Big Data 1 2014. All Rights Reserved. Agenda Context Challenges and opportunities Solutions Market Case studies Recommendations 2 2014. All Rights Reserved.

More information

The Analytics COE: the key to Monetizing Big Data via Predictive Analytics

The Analytics COE: the key to Monetizing Big Data via Predictive Analytics www.hcltech.com The Analytics COE: the key to Monetizing Big Data via Predictive Analytics big data & business analytics AuthOr: Doug Freud Director, Data Science WHITEPAPER AUGUST 2014 In early 2012 Ann

More information

Are You Ready for Big Data?

Are You Ready for Big Data? Are You Ready for Big Data? Jim Gallo National Director, Business Analytics April 10, 2013 Agenda What is Big Data? How do you leverage Big Data in your company? How do you prepare for a Big Data initiative?

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

Big Data, Physics, and the Industrial Internet! How Modeling & Analytics are Making the World Work Better."

Big Data, Physics, and the Industrial Internet! How Modeling & Analytics are Making the World Work Better. Big Data, Physics, and the Industrial Internet! How Modeling & Analytics are Making the World Work Better." Matt Denesuk! Chief Data Science Officer! GE Software! October 2014! Imagination at work. Contact:

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

EO Data by using SAP HANA Spatial Hinnerk Gildhoff, Head of HANA Spatial, SAP Satellite Masters Conference 21 th October 2015 Public

EO Data by using SAP HANA Spatial Hinnerk Gildhoff, Head of HANA Spatial, SAP Satellite Masters Conference 21 th October 2015 Public Leveraging Geospatial Technologies EO Data by using SAP HANA Spatial Hinnerk Gildhoff, Head of HANA Spatial, SAP Satellite Masters Conference 21 th October 2015 Public Disclaimer This presentation outlines

More information

Internet of Things. Opportunity Challenges Solutions

Internet of Things. Opportunity Challenges Solutions Internet of Things Opportunity Challenges Solutions Copyright 2014 Boeing. All rights reserved. GPDIS_2015.ppt 1 ANALYZING INTERNET OF THINGS USING BIG DATA ECOSYSTEM Internet of Things matter for... Industrial

More information

Eric Ledu, The Createch Group, a BELL company

Eric Ledu, The Createch Group, a BELL company Eric Ledu, The Createch Group, a BELL company Intelligence Analytics maturity Past Present Future Predictive Modeling Optimization What is the best that could happen? Raw Data Cleaned Data Standard Reports

More information

Big Data Explained. An introduction to Big Data Science.

Big Data Explained. An introduction to Big Data Science. Big Data Explained An introduction to Big Data Science. 1 Presentation Agenda What is Big Data Why learn Big Data Who is it for How to start learning Big Data When to learn it Objective and Benefits of

More information

Enhancing Video Gaming Experience using Big Data Analytics

Enhancing Video Gaming Experience using Big Data Analytics Enhancing Video Gaming Experience using Big Data Analytics Camelia Ciolac, Alexandru Costan, Gabriel Antoniu KerData Team, IRISA / Inria Rennes Bretagne Atlantique EIT Future Cloud Sympsium Rennes, 19

More information

Big Data Executive Survey

Big Data Executive Survey Big Data Executive Full Questionnaire Big Date Executive Full Questionnaire Appendix B Questionnaire Welcome The survey has been designed to provide a benchmark for enterprises seeking to understand the

More information

Big Data: Overview and Roadmap. 2015 eglobaltech. All rights reserved.

Big Data: Overview and Roadmap. 2015 eglobaltech. All rights reserved. Big Data: Overview and Roadmap 2015 eglobaltech. All rights reserved. What is Big Data? Large volumes of complex and variable data that require advanced techniques and technologies to enable capture, storage,

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

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

Increase Revenue THE JOURNEY TO BIG DATA. Gary Evans. CTO EMC Ireland. Twitter.com/Gary3vans. Copyright 2013 EMC Corporation. All rights reserved.

Increase Revenue THE JOURNEY TO BIG DATA. Gary Evans. CTO EMC Ireland. Twitter.com/Gary3vans. Copyright 2013 EMC Corporation. All rights reserved. THE JOURNEY TO BIG DATA Increase Revenue Gary Evans CTO EMC Ireland Twitter.com/Gary3vans 1 THE VALUE OF BIG DATA VARIETY VELOCITY BIG DATA VOLUME COMPLEXITY organizations can earn an incremental ROI of

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

Investor Presentation. Second Quarter 2015

Investor Presentation. Second Quarter 2015 Investor Presentation Second Quarter 2015 Note to Investors Certain non-gaap financial information regarding operating results may be discussed during this presentation. Reconciliations of the differences

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

Addressing Open Source Big Data, Hadoop, and MapReduce limitations

Addressing Open Source Big Data, Hadoop, and MapReduce limitations Addressing Open Source Big Data, Hadoop, and MapReduce limitations 1 Agenda What is Big Data / Hadoop? Limitations of the existing hadoop distributions Going enterprise with Hadoop 2 How Big are Data?

More information

Is a Data Scientist the New Quant? Stuart Kozola MathWorks

Is a Data Scientist the New Quant? Stuart Kozola MathWorks Is a Data Scientist the New Quant? Stuart Kozola MathWorks 2015 The MathWorks, Inc. 1 Facts or information used usually to calculate, analyze, or plan something Information that is produced or stored by

More information

Client Technology Solutions Suresh Kumar Chief Information Officer

Client Technology Solutions Suresh Kumar Chief Information Officer Client Technology Solutions Suresh Kumar Chief Information Officer Leading financial services technology company 75 Accelerating technology development to enable client solutions Priorities Simplifying

More information

Strategic Decisions Supported by SAP Big Data Solutions. Angélica Bedoya / Strategic Solutions GTM Mar /2014

Strategic Decisions Supported by SAP Big Data Solutions. Angélica Bedoya / Strategic Solutions GTM Mar /2014 Strategic Decisions Supported by SAP Big Data Solutions Angélica Bedoya / Strategic Solutions GTM Mar /2014 What critical new signals Might you be missing? Use Analytics Today 10% 75% Need Analytics by

More information

THE LATVIAN PRESIDENCY UNLOCKING EUROPEAN DIGITAL POTENTIAL FOR FASTER AND WIDER INNOVATION THROUGH OPEN AND DATA-INTENSIVE RESEARCH

THE LATVIAN PRESIDENCY UNLOCKING EUROPEAN DIGITAL POTENTIAL FOR FASTER AND WIDER INNOVATION THROUGH OPEN AND DATA-INTENSIVE RESEARCH THE LATVIAN PRESIDENCY UNLOCKING EUROPEAN DIGITAL POTENTIAL FOR FASTER AND WIDER INNOVATION THROUGH OPEN AND DATA-INTENSIVE RESEARCH IT-LV-LU TRIO PROGRAMME Overcome the economic and financial crisis Deliver

More information

Forecast of Big Data Trends. Assoc. Prof. Dr. Thanachart Numnonda Executive Director IMC Institute 3 September 2014

Forecast of Big Data Trends. Assoc. Prof. Dr. Thanachart Numnonda Executive Director IMC Institute 3 September 2014 Forecast of Big Data Trends Assoc. Prof. Dr. Thanachart Numnonda Executive Director IMC Institute 3 September 2014 Big Data transforms Business 2 Data created every minute Source http://mashable.com/2012/06/22/data-created-every-minute/

More information

Analytics: The real-world use of big data

Analytics: The real-world use of big data Findings from the research collaboration of IBM Institute for Business Value and Saïd Business School, University of Oxford Analytics: The real-world use of big data How innovative enterprises extract

More information

How to leverage SAP HANA for fast ROI and business advantage 5 STEPS. to success. with SAP HANA. Unleashing the value of HANA

How to leverage SAP HANA for fast ROI and business advantage 5 STEPS. to success. with SAP HANA. Unleashing the value of HANA How to leverage SAP HANA for fast ROI and business advantage 5 STEPS to success with SAP HANA Unleashing the value of HANA 5 steps to success with SAP HANA How to leverage SAP HANA for fast ROI and business

More information

G-Cloud Big Data Suite Powered by Pivotal. December 2014. G-Cloud. service definitions

G-Cloud Big Data Suite Powered by Pivotal. December 2014. G-Cloud. service definitions G-Cloud Big Data Suite Powered by Pivotal December 2014 G-Cloud service definitions TABLE OF CONTENTS Service Overview... 3 Business Need... 6 Our Approach... 7 Service Management... 7 Vendor Accreditations/Awards...

More information

BigData Value PPP i Horizon 2020 Arne.J.Berre@sintef.no

BigData Value PPP i Horizon 2020 Arne.J.Berre@sintef.no BigData Value PPP i Horizon 2020 Arne.J.Berre@sintef.no 1 OUTLINE Big Data Value Association and BD PPP What is Big Data? Horizon 2020 Work programme 2014-2015 Horizon 2020 draft Work programme 2016-2015

More information

Mike Maxey. Senior Director Product Marketing Greenplum A Division of EMC. Copyright 2011 EMC Corporation. All rights reserved.

Mike Maxey. Senior Director Product Marketing Greenplum A Division of EMC. Copyright 2011 EMC Corporation. All rights reserved. Mike Maxey Senior Director Product Marketing Greenplum A Division of EMC 1 Greenplum Becomes the Foundation of EMC s Big Data Analytics (July 2010) E M C A C Q U I R E S G R E E N P L U M For three years,

More information

Sunnie Chung. Cleveland State University

Sunnie Chung. Cleveland State University Sunnie Chung Cleveland State University Data Scientist Big Data Processing Data Mining 2 INTERSECT of Computer Scientists and Statisticians with Knowledge of Data Mining AND Big data Processing Skills:

More information

The Future of Business Analytics is Now! 2013 IBM Corporation

The Future of Business Analytics is Now! 2013 IBM Corporation The Future of Business Analytics is Now! 1 The pressures on organizations are at a point where analytics has evolved from a business initiative to a BUSINESS IMPERATIVE More organization are using analytics

More information

Future cybersecurity threats and research needs.

Future cybersecurity threats and research needs. www.thalesgroup.com Future cybersecurity threats and research needs. 3 rd Franco-American Workshop on Cybersecurity Lyon Kreshnik Musaraj kreshnik.musaraj@thalesgroup.com December 9. 2014 2 / Challenges

More information

How to use Big Data in Industry 4.0 implementations. LAURI ILISON, PhD Head of Big Data and Machine Learning

How to use Big Data in Industry 4.0 implementations. LAURI ILISON, PhD Head of Big Data and Machine Learning How to use Big Data in Industry 4.0 implementations LAURI ILISON, PhD Head of Big Data and Machine Learning Big Data definition? Big Data is about structured vs unstructured data Big Data is about Volume

More information

Interactive data analytics drive insights

Interactive data analytics drive insights Big data Interactive data analytics drive insights Daniel Davis/Invodo/S&P. Screen images courtesy of Landmark Software and Services By Armando Acosta and Joey Jablonski The Apache Hadoop Big data has

More information

Danny Wang, Ph.D. Vice President of Business Strategy and Risk Management Republic Bank

Danny Wang, Ph.D. Vice President of Business Strategy and Risk Management Republic Bank Danny Wang, Ph.D. Vice President of Business Strategy and Risk Management Republic Bank Agenda» Overview» What is Big Data?» Accelerates advances in computer & technologies» Revolutionizes data measurement»

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

Session 1: IT Infrastructure Security Vertica / Hadoop Integration and Analytic Capabilities for Federal Big Data Challenges

Session 1: IT Infrastructure Security Vertica / Hadoop Integration and Analytic Capabilities for Federal Big Data Challenges Session 1: IT Infrastructure Security Vertica / Hadoop Integration and Analytic Capabilities for Federal Big Data Challenges James Campbell Corporate Systems Engineer HP Vertica jcampbell@vertica.com Big

More information

Klarna Tech Talk: Mind the Data! Jeff Pollock InfoSphere Information Integration & Governance

Klarna Tech Talk: Mind the Data! Jeff Pollock InfoSphere Information Integration & Governance Klarna Tech Talk: Mind the Data! Jeff Pollock InfoSphere Information Integration & Governance IBM s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice

More information

Introducing Oracle Exalytics In-Memory Machine

Introducing Oracle Exalytics In-Memory Machine Introducing Oracle Exalytics In-Memory Machine Jon Ainsworth Director of Business Development Oracle EMEA Business Analytics 1 Copyright 2011, Oracle and/or its affiliates. All rights Agenda Topics Oracle

More information

Emerging Geospatial Trends The Convergence of Technologies. Jim Steiner Vice President, Product Management

Emerging Geospatial Trends The Convergence of Technologies. Jim Steiner Vice President, Product Management Emerging Geospatial Trends The Convergence of Technologies Jim Steiner Vice President, Product Management United Nation Analysis Initiative on Global GeoSpatial Information Management Future Trends Technology

More information

Analytics In the Cloud

Analytics In the Cloud Analytics In the Cloud 9 th September Presented by: Simon Porter Vice President MidMarket Sales Europe Disruptors are reinventing business processes and leading their industries with digital transformations

More information

Create and Drive Big Data Success Don t Get Left Behind

Create and Drive Big Data Success Don t Get Left Behind Create and Drive Big Data Success Don t Get Left Behind The performance boost from MapR not only means we have lower hardware requirements, but also enables us to deliver faster analytics for our users.

More information

Demystifying Big Data Government Agencies & The Big Data Phenomenon

Demystifying Big Data Government Agencies & The Big Data Phenomenon Demystifying Big Data Government Agencies & The Big Data Phenomenon Today s Discussion If you only remember four things 1 Intensifying business challenges coupled with an explosion in data have pushed

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

ANALYTICS BUILT FOR INTERNET OF THINGS

ANALYTICS BUILT FOR INTERNET OF THINGS ANALYTICS BUILT FOR INTERNET OF THINGS Big Data Reporting is Out, Actionable Insights are In In recent years, it has become clear that data in itself has little relevance, it is the analysis of it that

More information

INVESTOR PRESENTATION. First Quarter 2014

INVESTOR PRESENTATION. First Quarter 2014 INVESTOR PRESENTATION First Quarter 2014 Note to Investors Certain non-gaap financial information regarding operating results may be discussed during this presentation. Reconciliations of the differences

More information

IBM System x reference architecture solutions for big data

IBM System x reference architecture solutions for big data IBM System x reference architecture solutions for big data Easy-to-implement hardware, software and services for analyzing data at rest and data in motion Highlights Accelerates time-to-value with scalable,

More information

Microsoft Big Data. Solution Brief

Microsoft Big Data. Solution Brief Microsoft Big Data Solution Brief Contents Introduction... 2 The Microsoft Big Data Solution... 3 Key Benefits... 3 Immersive Insight, Wherever You Are... 3 Connecting with the World s Data... 3 Any Data,

More information

Keywords Big Data, NoSQL, Relational Databases, Decision Making using Big Data, Hadoop

Keywords Big Data, NoSQL, Relational Databases, Decision Making using Big Data, Hadoop Volume 4, Issue 1, January 2014 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Transitioning

More information

Architecting for Big Data Analytics and Beyond: A New Framework for Business Intelligence and Data Warehousing

Architecting for Big Data Analytics and Beyond: A New Framework for Business Intelligence and Data Warehousing Architecting for Big Data Analytics and Beyond: A New Framework for Business Intelligence and Data Warehousing Wayne W. Eckerson Director of Research, TechTarget Founder, BI Leadership Forum Business Analytics

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

Big Data & QlikView. Democratizing Big Data Analytics. David Freriks Principal Solution Architect

Big Data & QlikView. Democratizing Big Data Analytics. David Freriks Principal Solution Architect Big Data & QlikView Democratizing Big Data Analytics David Freriks Principal Solution Architect TDWI Vancouver Agenda What really is Big Data? How do we separate hype from reality? How does that relate

More information

The Internet of Things and Big Data: Intro

The Internet of Things and Big Data: Intro The Internet of Things and Big Data: Intro John Berns, Solutions Architect, APAC - MapR Technologies April 22 nd, 2014 1 What This Is; What This Is Not It s not specific to IoT It s not about any specific

More information

Hadoop Beyond Hype: Complex Adaptive Systems Conference Nov 16, 2012. Viswa Sharma Solutions Architect Tata Consultancy Services

Hadoop Beyond Hype: Complex Adaptive Systems Conference Nov 16, 2012. Viswa Sharma Solutions Architect Tata Consultancy Services Hadoop Beyond Hype: Complex Adaptive Systems Conference Nov 16, 2012 Viswa Sharma Solutions Architect Tata Consultancy Services 1 Agenda What is Hadoop Why Hadoop? The Net Generation is here Sizing the

More information

Converged, Real-time Analytics Enabling Faster Decision Making and New Business Opportunities

Converged, Real-time Analytics Enabling Faster Decision Making and New Business Opportunities Technology Insight Paper Converged, Real-time Analytics Enabling Faster Decision Making and New Business Opportunities By John Webster February 2015 Enabling you to make the best technology decisions Enabling

More information

European Big Data Value Strategic Research & Innovation Agenda

European Big Data Value Strategic Research & Innovation Agenda European Big Data Value cppp - - July 2014 European Big Data Value Strategic Research & Innovation Agenda VERSION 0.99 Executive Summary This (SRIA) defines the overall goals, main technical and non-technical

More information

H2020-LEIT-ICT WP2016-17. Big Data PPP

H2020-LEIT-ICT WP2016-17. Big Data PPP H2020-LEIT-ICT WP2016-17 Big Data PPP H2020-LEIT-ICT-2016 ICT 14 Big Data PPP: cross-sectorial and cross-lingual data integration and experimentation (IA) - Budget 27 M ICT 15 Big Data PPP: large scale

More information

From Spark to Ignition:

From Spark to Ignition: From Spark to Ignition: Fueling Your Business on Real-Time Analytics Eric Frenkiel, MemSQL CEO June 29, 2015 San Francisco, CA What s in Store For This Presentation? 1. MemSQL: A real-time database for

More information

Big Data overview. Livio Ventura. SICS Software week, Sept 23-25 Cloud and Big Data Day

Big Data overview. Livio Ventura. SICS Software week, Sept 23-25 Cloud and Big Data Day Big Data overview SICS Software week, Sept 23-25 Cloud and Big Data Day Livio Ventura Big Data European Industry Leader for Telco, Energy and Utilities and Digital Media Agenda some data on Data Big Data

More information

Big data: Unlocking strategic dimensions

Big data: Unlocking strategic dimensions Big data: Unlocking strategic dimensions By Teresa de Onis and Lisa Waddell Dell Inc. New technologies help decision makers gain insights from all types of data from traditional databases to high-visibility

More information

Big data platform for IoT Cloud Analytics. Chen Admati, Advanced Analytics, Intel

Big data platform for IoT Cloud Analytics. Chen Admati, Advanced Analytics, Intel Big data platform for IoT Cloud Analytics Chen Admati, Advanced Analytics, Intel Agenda IoT @ Intel End-to-End offering Analytics vision Big data platform for IoT Cloud Analytics Platform Capabilities

More information

Big Data-ready, Secure & Sovereign Cloud

Big Data-ready, Secure & Sovereign Cloud Copernicus Big Data Workshop Big Data-ready, Secure & Sovereign Cloud A Technology Enabler for Copernicus Data Innovation March 14 th, 2014 Brussels F. BOUJEMAA R&D Manager E. MICONNET - Head of Cyber

More information

Managing Big Data with Hadoop & Vertica. A look at integration between the Cloudera distribution for Hadoop and the Vertica Analytic Database

Managing Big Data with Hadoop & Vertica. A look at integration between the Cloudera distribution for Hadoop and the Vertica Analytic Database Managing Big Data with Hadoop & Vertica A look at integration between the Cloudera distribution for Hadoop and the Vertica Analytic Database Copyright Vertica Systems, Inc. October 2009 Cloudera and Vertica

More information

Technology overview for the HPE Living Progress Challenge

Technology overview for the HPE Living Progress Challenge Technology overview for the HPE Living Progress Challenge Sean Hughes Senior Manager, Developer Relations December 15, 2015 Developers and the Living progress challenge Turning ideas into apps through

More information

Managing Cloud Server with Big Data for Small, Medium Enterprises: Issues and Challenges

Managing Cloud Server with Big Data for Small, Medium Enterprises: Issues and Challenges Managing Cloud Server with Big Data for Small, Medium Enterprises: Issues and Challenges Prerita Gupta Research Scholar, DAV College, Chandigarh Dr. Harmunish Taneja Department of Computer Science and

More information

Big Data Analytics in Health Care

Big Data Analytics in Health Care Big Data Analytics in Health Care S. G. Nandhini 1, V. Lavanya 2, K.Vasantha Kokilam 3 1 13mss032, 2 13mss025, III. M.Sc (software systems), SRI KRISHNA ARTS AND SCIENCE COLLEGE, 3 Assistant Professor,

More information

exceet Secure Solutions Smart & Secure Network From Vision to Reality

exceet Secure Solutions Smart & Secure Network From Vision to Reality exceet Secure Solutions Smart & Secure Network From Vision to Reality Agenda 1. About exceet 2. Entering the World of Smart Connected Products 3. exceet s Transformation Developing New Competencies 4.

More information

Internet of Things (IoT) Analytics Market by Application Platform, Solutions, Deployment, Process, Regions - Global Forecast to 2020

Internet of Things (IoT) Analytics Market by Application Platform, Solutions, Deployment, Process, Regions - Global Forecast to 2020 Brochure More information from http://www.researchandmarkets.com/reports/3300451/ Internet of Things (IoT) Analytics Market by Application Platform, Solutions, Deployment, Process, Regions - Global Forecast

More information

NESSI Summit 2014 The European Data Market. Gabriella Cattaneo, IDC Europe May 27, 2014 Brussels

NESSI Summit 2014 The European Data Market. Gabriella Cattaneo, IDC Europe May 27, 2014 Brussels NESSI Summit 2014 The European Data Market Gabriella Cattaneo, IDC Europe May 27, 2014 Brussels Content The Big Data Market main trends The European Data Market gaining speed Measuring the European Data

More information

Factories of the Future Horizon 2020: LEIT ICT WP2016-17. FoF-11-2016: Digital Automation

Factories of the Future Horizon 2020: LEIT ICT WP2016-17. FoF-11-2016: Digital Automation Factories of the Future Horizon 2020: LEIT ICT WP2016-17 FoF-11-2016: Digital Automation Directorate General for Communication Networks, Content and Technology FoF PPP in Work Programme 2016-2017 FoF-11-2016:

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

High-Performance Analytics

High-Performance Analytics High-Performance Analytics David Pope January 2012 Principal Solutions Architect High Performance Analytics Practice Saturday, April 21, 2012 Agenda Who Is SAS / SAS Technology Evolution Current Trends

More information

internet of things Patrick Pax Business Development Manager Chris Geary Innovation Manager

internet of things Patrick Pax Business Development Manager Chris Geary Innovation Manager internet of things Patrick Pax Business Development Manager Chris Geary Innovation Manager agenda 1 2 3 4 internet of things moving into main stream uncover new opportunities in your business call for

More information

PROGRAM DIRECTOR: Arthur O Connor Email Contact: URL : THE PROGRAM Careers in Data Analytics Admissions Criteria CURRICULUM Program Requirements

PROGRAM DIRECTOR: Arthur O Connor Email Contact: URL : THE PROGRAM Careers in Data Analytics Admissions Criteria CURRICULUM Program Requirements Data Analytics (MS) PROGRAM DIRECTOR: Arthur O Connor CUNY School of Professional Studies 101 West 31 st Street, 7 th Floor New York, NY 10001 Email Contact: Arthur O Connor, arthur.oconnor@cuny.edu URL:

More information