Presentation by Sören Auer, Fraunhofer IAIS, Coordinator of Big Data Europe, at the first workshop of Societal Challlenge 6 in the BigDataEurope project, taking place in Luxembourg on 18 November 2015.
http://www.big-data-europe.eu/social-sciences/
SC6 Workshop 1: From your data to data stories - BigDataEurope, SC6 WorkshopBigData_Europe
Presentation by Anna Triantafillou, ATC and Vangelis Karkaletsis, NCSR ‘Demokritos’, at the first workshop of Societal Challlenge 6 in the BigDataEurope project, taking place in Luxembourg on 18 November 2015.
http://www.yourdatastories.eu
SC6 Workshop 1: Big data (phenomenon) challenges and requirements in official...BigData_Europe
Presentation by Fernando Reis, Eurostat, European Commission, at the first workshop of Societal Challlenge 6 in the BigDataEurope project, taking place in Luxembourg on 18 November 2015.
http://www.big-data-europe.eu/social-sciences/
SC6 Workshop 1: Big Data Europe platform requirements and draft architecture:...BigData_Europe
Presentation by Martin Kaltenböck, Semantic Web Company, at the first workshop of Societal Challlenge 6 in the BigDataEurope project, taking place in Luxembourg on 18 November 2015.
http://www.big-data-europe.eu/social-sciences/
EDF2014: BIG - NESSI Networking Session: Edward Curry, National University of...European Data Forum
BIG - NESSI Networking Session, Talk by Edward Curry, National University of Ireland Galway at the European Data Forum 2014, 20 March 2014 in Athens, Greece: The Big Data Value Chain.
SC4 Workshop 1: Dave Marples: Role of social media in transport BigData_Europe
Social media allow people to create, share, and exchange information and media online. When used for transportation, social media data can be acquired, integrated, analyzed, and interpreted to provide insights but also present challenges regarding quality, reliability, privacy, and potential spoofing. Key questions remain around deciding what social media data can be relied on, obtaining consent to use electively published data, and preventing spoofed information from confusing users or encouraging inappropriate behavior.
EDF2014: Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate Ge...European Data Forum
PPP on Data & Executive Panel on Big Data, Introduction by Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate General for Communications Networks, Content and Technology at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Towards a Data Value Chain Partership in Europe.
A l'occasion de l'eGov Innovation Day 2014 - DONNÉES DE L’ADMINISTRATION, UNE MINE (qui) D’OR(t) - Philippe Cudré-Mauroux présente Big Data et eGovernment.
SC4 Hangout 1: BDE-Transport Webinar Simon ScerriBigData_Europe
BigDataEurope organized its first webinar on the 21st September 10h00-11h00 (CET) to introduce the BigDataEurope project, in particular the domain of Smart, Green, and Integrated Transport.
The presentation was created and presented by Simon Scerri from the University of Bonn.
SC6 Workshop 1: From your data to data stories - BigDataEurope, SC6 WorkshopBigData_Europe
Presentation by Anna Triantafillou, ATC and Vangelis Karkaletsis, NCSR ‘Demokritos’, at the first workshop of Societal Challlenge 6 in the BigDataEurope project, taking place in Luxembourg on 18 November 2015.
http://www.yourdatastories.eu
SC6 Workshop 1: Big data (phenomenon) challenges and requirements in official...BigData_Europe
Presentation by Fernando Reis, Eurostat, European Commission, at the first workshop of Societal Challlenge 6 in the BigDataEurope project, taking place in Luxembourg on 18 November 2015.
http://www.big-data-europe.eu/social-sciences/
SC6 Workshop 1: Big Data Europe platform requirements and draft architecture:...BigData_Europe
Presentation by Martin Kaltenböck, Semantic Web Company, at the first workshop of Societal Challlenge 6 in the BigDataEurope project, taking place in Luxembourg on 18 November 2015.
http://www.big-data-europe.eu/social-sciences/
EDF2014: BIG - NESSI Networking Session: Edward Curry, National University of...European Data Forum
BIG - NESSI Networking Session, Talk by Edward Curry, National University of Ireland Galway at the European Data Forum 2014, 20 March 2014 in Athens, Greece: The Big Data Value Chain.
SC4 Workshop 1: Dave Marples: Role of social media in transport BigData_Europe
Social media allow people to create, share, and exchange information and media online. When used for transportation, social media data can be acquired, integrated, analyzed, and interpreted to provide insights but also present challenges regarding quality, reliability, privacy, and potential spoofing. Key questions remain around deciding what social media data can be relied on, obtaining consent to use electively published data, and preventing spoofed information from confusing users or encouraging inappropriate behavior.
EDF2014: Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate Ge...European Data Forum
PPP on Data & Executive Panel on Big Data, Introduction by Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate General for Communications Networks, Content and Technology at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Towards a Data Value Chain Partership in Europe.
A l'occasion de l'eGov Innovation Day 2014 - DONNÉES DE L’ADMINISTRATION, UNE MINE (qui) D’OR(t) - Philippe Cudré-Mauroux présente Big Data et eGovernment.
SC4 Hangout 1: BDE-Transport Webinar Simon ScerriBigData_Europe
BigDataEurope organized its first webinar on the 21st September 10h00-11h00 (CET) to introduce the BigDataEurope project, in particular the domain of Smart, Green, and Integrated Transport.
The presentation was created and presented by Simon Scerri from the University of Bonn.
SC4 Workshop 1: Simon Scerri: Existing tools and technologiesBigData_Europe
This document discusses technologies for addressing big data challenges in Europe. It describes the 3Vs of big data - volume, velocity, and variety. It outlines requirements for batch processing of historical data, real-time queries of online data, and low-latency analysis of streaming data. The document proposes a lambda architecture that combines batch and real-time processing layers with a data storage layer to enable both batch and real-time views of the data. Semantic technologies are proposed to preserve semantics and metadata in big data systems. The data aggregator platform would integrate semantic and non-semantic data using mapping techniques and exploit semantics for analysis.
This document discusses Big Data Europe, a project that aims to address societal challenges in Europe by integrating big data, software, and communities. It will do this by helping maximize the societal value of big data across domains like health, food security, energy, transport, the environment, and security. The project will establish cross-domain data value chains and help lower barriers to using big data technologies. It envisions engaging stakeholders through interest groups and showcases applications in domains like linking life science data for drug discovery and aggregating energy and climate data. The project follows the lambda architecture and will have to address challenges like ingesting diverse data types while preserving semantics and metadata in big data processing chains.
SC7 Hangout 1: Community Building and user requirements for Big Data in Secur...BigData_Europe
SatCen's role is to develop pilots using the BigDataEurope stack for secure societies scenarios and build a secure societies community. To gather user requirements, SatCen conducted stakeholder interviews through customized questionnaires, held a workshop with 45 participants from space, security, data and cybersecurity domains, and discussed needs with other entities through events and projects. The goal is to inform Big Data applications that meet the needs of the secure societies domain.
SC4 Workshop 1: Logistics and big data German herreroBigData_Europe
This document discusses the potential of big data in logistics. It notes that big data in logistics is characterized by large volumes of diverse data from both structured and unstructured sources. Applying advanced analytics to big data can provide greater insights across supply chains, enabling more efficient routing, inventory control, and issue resolution. Key challenges to realizing big data's potential in logistics include identifying appropriate business cases, gaining data sharing between stakeholders, and developing data science expertise in the logistics field.
EDF2014: José Ignacio Sánchez Valdenebro, Deputy Director of Digital Public S...European Data Forum
Selected Talk of José Ignacio Sánchez Valdenebro, Deputy Director of Digital Public Services Department, Entidad Publica Empresarial Red.es at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Aporta Project: National Strategy for encourage PSI in Spain
EDF2014: Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate Ge...European Data Forum
Invited Talk of Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate General for Communications Networks, Content and Technology: at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Public Sector Information (PSI) at European Commission (EC)
Introduction to EOSCpilot project and topical activities in the area of EOSCEOSCpilot .eu
This presentation was given by Juan Bicarregui, STFC and EOSCpilot project coordinator, during 2nd EOSCpilot Governance Development Forum workshop, 3 October 2017, Tallin.
https://eoscpilot.eu/events/2nd-egdf-eoscpilot-governance-development-forum
Follow EOSCpilot on Twitter: https://twitter.com/eoscpilot
and LinkedIn: https://www.linkedin.com/in/eoscpiloteu
EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...European Data Forum
Selected Talk by Rüdiger Eichin, Research Manager at SAP AG, Germany at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Deriving Value from Big Data for Enterprise Performance Management.
This document summarizes funding opportunities for ICT projects in the Horizon 2020 framework program for 2014-2015. It outlines calls for big data, open data, and language technologies projects, including innovation actions to develop new solutions, research projects to advance technologies, and coordination actions. The goals are to help companies build innovative data products, address barriers to data reuse, and crack the language barrier in Europe to facilitate multilingual communication.
The document introduces a new metric called Tau to measure the timeliness of data in catalogues. Tau is calculated by comparing the timestamp of when data was last updated versus the current time. The document provides three case studies calculating Tau for different data catalogues, with values ranging from 0.25 to 0.52. It encourages readers to try out Tau themselves and discuss related work, in order to build an evidence base for evaluating open data timeliness.
The event presents real-life examples from European organisations that have used the Rulebook for Fair Data Economy to develop data-driven business. The online event was organised on 3 March 2021 by Sitra.
Presentations:
- Jaana Sinipuro, Sitra
- Olli Pitkänen, 1001 Lakes
- Marko Turpeinen, 1001 Lakes
- Lars Nagel, International Data Spaces Association
- Cátia Pinto, Serviços Partilhados do Ministério da Saúde
- Matthias De Bièvre, aNewGovernance
In the third part of the workshop series Smart Policies for Data, we will focus on two central building blocks – interoperability and balanced data sharing.
The presentations of the event:
- Szymon Lewandowski, DG CONNECT, European Commission
- Marko Turpeinen, CEO, 1001 Lakes
- Lars Nagel, CEO, International Data Spaces Association
1. Open data evolution in Amsterdam started in 2010 when hackers and innovators requested the city's first datasets, with nearly 400 datasets now available.
2. Amsterdam has invested heavily in open data, growing its budget from zero euros in 2010 to 1.5 million euros in 2013, and launching an Open Data Program in 2013.
3. Amsterdam has supported open data through three EU projects and has built a strong ecosystem of partners including businesses, hackers, coders, and intermediaries that have helped launch over 30 civic apps using open data.
The presentation touches upon issues of strategic futures, digital twins, blockchain and the development of skills in the context of investment policy.
This document summarizes the work of Slim Turki and Prune Gautier on open data and data ecosystems since 2012. It discusses their projects on open data quality, how open data is turned into services, and data ecosystem governance. It also outlines recommendations for establishing sustainable data ecosystems, including collaborative governance, stakeholder engagement, technical standards, and economic sustainability. Finally, it notes trends moving from open data provision to ecosystem thinking with high value datasets, the European Data Strategy, and opportunities around health, environment, and urban digital twins data.
The Rise of Enterprise Data Stories in Data Visualization by Erik Laurijssen ...Patrick Van Renterghem
Presentation by Erik Laurijssen (CEO, Datylon): "The Rise of Data Stories in the Enterprise for Data Visualization" at the BI & Data Analytics Summit on June 13th in Diegem (Belgium)
SC2 Workshop 1: Big Data Europe (BDE) - Project Overview & Food WorkshopBigData_Europe
BigDataEurope aims to maximize the societal value of big data by addressing challenges in health, food security, energy, transport, climate action, and secure societies. It develops a big data aggregator platform to integrate diverse data sources and apply analytics to help solve societal problems. The platform follows the Lambda architecture to handle both batch and real-time processing while retaining semantic meaning from data. Current activities include workshops and interest groups in specific societal challenge domains.
SC4 Workshop 1: Simon Scerri: Existing tools and technologiesBigData_Europe
This document discusses technologies for addressing big data challenges in Europe. It describes the 3Vs of big data - volume, velocity, and variety. It outlines requirements for batch processing of historical data, real-time queries of online data, and low-latency analysis of streaming data. The document proposes a lambda architecture that combines batch and real-time processing layers with a data storage layer to enable both batch and real-time views of the data. Semantic technologies are proposed to preserve semantics and metadata in big data systems. The data aggregator platform would integrate semantic and non-semantic data using mapping techniques and exploit semantics for analysis.
This document discusses Big Data Europe, a project that aims to address societal challenges in Europe by integrating big data, software, and communities. It will do this by helping maximize the societal value of big data across domains like health, food security, energy, transport, the environment, and security. The project will establish cross-domain data value chains and help lower barriers to using big data technologies. It envisions engaging stakeholders through interest groups and showcases applications in domains like linking life science data for drug discovery and aggregating energy and climate data. The project follows the lambda architecture and will have to address challenges like ingesting diverse data types while preserving semantics and metadata in big data processing chains.
SC7 Hangout 1: Community Building and user requirements for Big Data in Secur...BigData_Europe
SatCen's role is to develop pilots using the BigDataEurope stack for secure societies scenarios and build a secure societies community. To gather user requirements, SatCen conducted stakeholder interviews through customized questionnaires, held a workshop with 45 participants from space, security, data and cybersecurity domains, and discussed needs with other entities through events and projects. The goal is to inform Big Data applications that meet the needs of the secure societies domain.
SC4 Workshop 1: Logistics and big data German herreroBigData_Europe
This document discusses the potential of big data in logistics. It notes that big data in logistics is characterized by large volumes of diverse data from both structured and unstructured sources. Applying advanced analytics to big data can provide greater insights across supply chains, enabling more efficient routing, inventory control, and issue resolution. Key challenges to realizing big data's potential in logistics include identifying appropriate business cases, gaining data sharing between stakeholders, and developing data science expertise in the logistics field.
EDF2014: José Ignacio Sánchez Valdenebro, Deputy Director of Digital Public S...European Data Forum
Selected Talk of José Ignacio Sánchez Valdenebro, Deputy Director of Digital Public Services Department, Entidad Publica Empresarial Red.es at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Aporta Project: National Strategy for encourage PSI in Spain
EDF2014: Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate Ge...European Data Forum
Invited Talk of Marta Nagy-Rothengass, Head of Unit Data Value Chain, Directorate General for Communications Networks, Content and Technology: at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Public Sector Information (PSI) at European Commission (EC)
Introduction to EOSCpilot project and topical activities in the area of EOSCEOSCpilot .eu
This presentation was given by Juan Bicarregui, STFC and EOSCpilot project coordinator, during 2nd EOSCpilot Governance Development Forum workshop, 3 October 2017, Tallin.
https://eoscpilot.eu/events/2nd-egdf-eoscpilot-governance-development-forum
Follow EOSCpilot on Twitter: https://twitter.com/eoscpilot
and LinkedIn: https://www.linkedin.com/in/eoscpiloteu
EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...European Data Forum
Selected Talk by Rüdiger Eichin, Research Manager at SAP AG, Germany at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Deriving Value from Big Data for Enterprise Performance Management.
This document summarizes funding opportunities for ICT projects in the Horizon 2020 framework program for 2014-2015. It outlines calls for big data, open data, and language technologies projects, including innovation actions to develop new solutions, research projects to advance technologies, and coordination actions. The goals are to help companies build innovative data products, address barriers to data reuse, and crack the language barrier in Europe to facilitate multilingual communication.
The document introduces a new metric called Tau to measure the timeliness of data in catalogues. Tau is calculated by comparing the timestamp of when data was last updated versus the current time. The document provides three case studies calculating Tau for different data catalogues, with values ranging from 0.25 to 0.52. It encourages readers to try out Tau themselves and discuss related work, in order to build an evidence base for evaluating open data timeliness.
The event presents real-life examples from European organisations that have used the Rulebook for Fair Data Economy to develop data-driven business. The online event was organised on 3 March 2021 by Sitra.
Presentations:
- Jaana Sinipuro, Sitra
- Olli Pitkänen, 1001 Lakes
- Marko Turpeinen, 1001 Lakes
- Lars Nagel, International Data Spaces Association
- Cátia Pinto, Serviços Partilhados do Ministério da Saúde
- Matthias De Bièvre, aNewGovernance
In the third part of the workshop series Smart Policies for Data, we will focus on two central building blocks – interoperability and balanced data sharing.
The presentations of the event:
- Szymon Lewandowski, DG CONNECT, European Commission
- Marko Turpeinen, CEO, 1001 Lakes
- Lars Nagel, CEO, International Data Spaces Association
1. Open data evolution in Amsterdam started in 2010 when hackers and innovators requested the city's first datasets, with nearly 400 datasets now available.
2. Amsterdam has invested heavily in open data, growing its budget from zero euros in 2010 to 1.5 million euros in 2013, and launching an Open Data Program in 2013.
3. Amsterdam has supported open data through three EU projects and has built a strong ecosystem of partners including businesses, hackers, coders, and intermediaries that have helped launch over 30 civic apps using open data.
The presentation touches upon issues of strategic futures, digital twins, blockchain and the development of skills in the context of investment policy.
This document summarizes the work of Slim Turki and Prune Gautier on open data and data ecosystems since 2012. It discusses their projects on open data quality, how open data is turned into services, and data ecosystem governance. It also outlines recommendations for establishing sustainable data ecosystems, including collaborative governance, stakeholder engagement, technical standards, and economic sustainability. Finally, it notes trends moving from open data provision to ecosystem thinking with high value datasets, the European Data Strategy, and opportunities around health, environment, and urban digital twins data.
The Rise of Enterprise Data Stories in Data Visualization by Erik Laurijssen ...Patrick Van Renterghem
Presentation by Erik Laurijssen (CEO, Datylon): "The Rise of Data Stories in the Enterprise for Data Visualization" at the BI & Data Analytics Summit on June 13th in Diegem (Belgium)
SC2 Workshop 1: Big Data Europe (BDE) - Project Overview & Food WorkshopBigData_Europe
BigDataEurope aims to maximize the societal value of big data by addressing challenges in health, food security, energy, transport, climate action, and secure societies. It develops a big data aggregator platform to integrate diverse data sources and apply analytics to help solve societal problems. The platform follows the Lambda architecture to handle both batch and real-time processing while retaining semantic meaning from data. Current activities include workshops and interest groups in specific societal challenge domains.
The document describes the BigDataEurope project, which aims to lower barriers for using big data technologies across different societal domains. It provides a one-stop solution called the Big Data Integrator platform that allows flexible deployment of open source big and smart data management tools using Docker containers. The platform is demonstrated through 7 pilot use cases aligned with European Commission challenges. Workshops and webinars are held to engage stakeholders and show societal value. The project coordinates integration of tools for data acquisition, storage, processing, analytics and semantics.
1. Determine if a Big Data approach is suitable based on factors like volume, variety and velocity of data as well as the need for iterative, exploratory analysis.
2. Use techniques like Hadoop, MapReduce and NoSQL databases that can analyze large, diverse, unstructured datasets in a distributed, parallel manner.
3. Follow data management best practices like data governance, quality checks, and master data management to ensure clean, well-organized data.
New Horizons for a Data-Driven Economy – A Roadmap for Big Data in Europe inside-BigData.com
In this video from the ISC Big Data'14 Conference, Edward Curry from the NUI Galway & Nuria de Lama Sanchez from Atos present: New Horizons for a Data-Driven Economy – A Roadmap for Big Data in Europe.
"In this talk we summarize the results of the BIG project including analysis of foundational Big Data research technologies, technology and strategy roadmaps to enable business to understand the potential of Big Data technologies across different sectors, together with the necessary collaboration and dissemination infrastructure to link technology suppliers, integrators and leading user organizations."
Learn more:
http://www.isc-events.com/bigdata14/schedule.html
and
http://big-project.eu/
Watch the video presentation: http://wp.me/p3RLEV-37G
The document discusses Big Data Europe (BDE), a coordination and support action to address challenges around big data in Europe. It outlines two main measures BDE will implement: 1) Coordination of stakeholder engagement to understand requirements for big data infrastructure across societal challenges, and 2) Support for designing, developing, and evaluating a big data aggregator platform to meet requirements and maximize opportunities from European research. BDE will build interest groups and involve stakeholders from Horizon 2020 challenges to coordinate this work, and design a cloud-ready aggregator platform to realize the described measures.
Introduction: The Big Data Europe Project at the: CMG-AE Event: Big Data: Strategien, Technologien und Nutzen
19th of May 2015, Expat Center der Wirtschaftsagentur, Vienna, Austria
See: http://www.big-data-europe.eu
SC4 Workshop 1: Simon Scerri (Fraunhofer) - What can big data do for transport?BigData_Europe
The document describes a series of workshops on empowering communities with data technologies for transport. It provides context on big data, including the large volume of data being created and its dimensions of volume, velocity, variety and veracity. It outlines the motivation and objectives of the Big Data Europe project, including establishing data value chains across domains and lowering barriers to using big data. Current activities for Year 1 include a series of societal workshops and setting up interest groups in health, food, energy, transport, climate, societies and security.
BigDataEurope: Project Introduction @ Year #1 WorkshopsBigData_Europe
An overview of the BDE project's objective, as presented in the introduction (with some variations) in each of the 1st Year series of workshops (seven: one per societal challenge).
Workshop #1 Year Schedule available at: http://www.big-data-europe.eu/first-round-of-bigdataeurope-workshops-announced/
Presentation of the Big Data Europe project at the EIP Water Conference 2016 ...Martin Kaltenböck
Presentation of the Big Data Europe project (http://www.big-data-europe.eu) at the EIP Water Conference 2016 in Leeuwarden, The Netherlands. Taking place on 09/02/2016 at the Wetsus Campus in Leeuwarden, the Netherlands in the course of an ICT4Water workshop.
Easy SPARQLing for the Building Performance ProfessionalMartin Kaltenböck
Slides of Martin Kaltenböcks (SWC) presentation at SEMANTiCS2014 conference in Leipzig on 5th of September 2014 about the 'Tool for Building Energy Performance Scenarios' of GBPN (Global Buildings Performance Network, http://gbpn.org) that provides a prediction tool for buildings performance worldwide by making use of Linked Open Data (LOD).
BDE-BDVA Webinar: BigDataEurope Overview & Synergies with BDVABigData_Europe
The document discusses BigDataEurope, a H2020 CSA project that aims to lower barriers for using big data technologies and demonstrate societal value through 7 pilot use cases. It describes the Integrator Platform, which provides a flexible, generic platform for deploying big data value chains using open source solutions. The platform has been instantiated 7 times for the pilot uses cases. It also discusses synergies between BigDataEurope and the Big Data Value Association (BDVA) in advancing big data technical priorities.
The Big Data Value Public-Private Partnership (BDV PPP) was launched in 2014 with the goal of strengthening Europe's data industry. It involves a €2.5 billion investment between the European Commission and private industry over 5 years. The Big Data Value Association represents the private stakeholders and oversees the BDV PPP's implementation. The PPP aims to foster European leadership in big data through collaborative research projects, innovation spaces for skills development, and lighthouse projects to demonstrate applications. Its goals include boosting the EU's industrial competitiveness, enabling new business models, and using big data for social challenges like healthcare.
Data Pioneers - Roland Haeve (Atos Nederland) - Big data in organisatiesMultiscope
This document discusses big data and its growth. It notes that in 2000, 2 exabytes of new data were produced, while in 2011 1.8 zettabytes of new data were produced. By 2020, data production is expected to grow 40 times to 35 zettabytes. The traditional 3-4 V's of big data (volume, velocity, variety, veracity) are expanding to 5-7 V's with the addition of viscosity, virality, and value. Examples of big data use cases include sensor data from CERN and jet engines, social media data from Twitter, and transactional data from Walmart. Atos provides big data analytics solutions and has implemented projects for smart metering,
In the age of Big Data, filtering mechanisms have to professionalized to increase accessibility to data. This presentation, held at Knowledge Management Academy in Vienna, shows how technologies derived from the Semantic Web can help to establish more efficient means to manage data and information.
Big Data Value Association (BDVA) - Intro Slide PackStuart Campbell
The document discusses the Big Data Value Public-Private Partnership (BDV PPP) and the Big Data Value Association (BDVA). It provides background on the launch and objectives of the BDV cPPP, which aims to strengthen Europe's data industry and position Europe as a leader in big data. The cPPP involves €2.5 billion in combined public and private investment over 5 years. The BDVA represents the private stakeholders and aims to foster collaboration across industries, organizations and countries. The document outlines the scope and objectives of the BDV cPPP in areas like competitiveness, innovation and societal impact. Key initiatives like European Innovation Spaces and Lighthouse Projects are highlighted as mechanisms to demonstrate big data
Dealing with Semantic Heterogeneity in Real-Time InformationEdward Curry
The document discusses computational paradigms for large scale open environments. It describes how environments have shifted from small controlled ones to large open ones with thousands of data sources and schemas. This requires processing information as it flows in real-time from multiple distributed sources. The talk introduces the concept of Information Flow Processing, which processes information as it streams in without intermediate storage. Examples of domains where this paradigm can be applied are given like financial analytics, inventory management and environmental monitoring.
NIIT and Denodo: Business Continuity Planning in the times of the Covid-19 Pa...Denodo
Watch: https://bit.ly/349QjYr
Currently, the most common Analytical Solutions are implemented on large scalable ecosystems which involve massive Data Lakes and Data Warehouses. These solutions take time to build and incur substantial TCO. In today’s environment we need rapid technologies, and NIIT has developed a compelling solution powered by Denodo’s Data Virtualization and Data Catalog.
Cloud Expo 2015: DICE: Developing Data-Intensive Cloud Applications with Iter...DICE-H2020
This document summarizes the DICE Horizon 2020 project, which aims to develop methods and tools for quality-aware development of data-intensive cloud applications. The project has a budget of 4 million euros over 3 years with 9 academic and industry partners across Europe. It addresses challenges in ensuring software quality for big data applications involving technologies like Hadoop, Spark, and cloud infrastructure. The DICE project will develop a UML profile and quality-aware modeling approach, as well as analysis, simulation, and verification tools to help reason about quality aspects during development. It will also produce an integrated development environment and deployment/delivery tools to support the overall methodology.
Similar to SC6 Workshop 1: What can big data do for you? (20)
Luigi Selmi - The Big Data Integrator PlatformBigData_Europe
The document discusses the SC4 pilot project, which aims to build a scalable and fault-tolerant platform for processing large datasets using open source frameworks. The platform utilizes a microservices architecture and processes real-time floating car data for tasks like map matching and short-term traffic forecasting using algorithms like feedforward artificial neural networks. It also discusses how semantic technologies from projects like SANSA-Stack and LinkedGeoData could enable additional use cases for the SC4 platform.
Josep Maria Salanova - Introduction to BDE+SC4BigData_Europe
The BigDataEurope project aims to empower mobility management with big data. It has developed a modular platform that allows end-users to easily deploy functionality in their own systems using Docker containers. The platform is being tested through 7 pilot projects aligned with European societal challenges related to data-driven solutions. One pilot focuses on transport in Thessaloniki, Greece, using GPS, Bluetooth, and other probe data to improve map matching and mobility pattern recognition and forecasting to better manage traffic. The project coordinators are available for any questions.
The LeMO project aims to leverage big data to manage transport operations. It will identify issues around effective data mining and exploitation in transportation. The project will analyze barriers and opportunities for using big data in transport. It will also design recommendations for research and policy regarding big data in transport. The project involves 5 partners from 5 countries and will run from 2017 to 2020. It seeks to produce a roadmap for data collection, sharing, and exploitation to support European transport stakeholders. The project will study big data in transport through case studies focusing on issues like infrastructure innovation, transport efficiency, and data protection. It expects its recommendations and roadmap to help policymakers and industry better utilize big data.
Big Data Europe SC6 WS #3: PILOT SC6: CITIZEN BUDGET ON MUNICIPAL LEVEL, Mart...BigData_Europe
This document describes a pilot project that aims to create an online dashboard of municipal budget and spending data from multiple European cities. The project will harvest, link, analyze and visualize open budget data to make it more useful for citizens, researchers and decision makers. Data will be integrated from Athens, Thessaloniki and Kalamaria in Greece initially, and potentially Vienna, Linz and Barcelona. The technical architecture uses Apache tools like Flume, Kafka and Spark to ingest, store and analyze the heterogeneous data sources in real-time. The goal is to evaluate how a big data approach can provide new insights into public finances from an integrated, multilingual and longitudinal perspective.
Big Data Europe SC6 WS #3: Big Data Europe Platform: Apps, challenges, goals ...BigData_Europe
This document discusses Big Data Europe (BDE), an open source big data platform. It provides an overview of BDE's goals, architecture, and applications. The key points are:
1) BDE's goals are to make it easy to install, develop for, deploy, and integrate big data applications. It aims to unlock the value of data through an open platform.
2) BDE supports a variety of frameworks and uses Docker to package components. Its architecture includes layers for resources, data, processing, and applications.
3) BDE is being applied to challenges in domains like health, transport, energy, and security. Examples analyze traffic patterns, perform predictive maintenance, and detect changes in infrastructure
Big Data Europe SC6 WS 3: Where we are and are going for Big Data in OpenScie...BigData_Europe
Where we are and are going for Big Data in OpenScience
Keynote talk at the Big Data Europe SC6 Workshop on 11.9.2017 in Amsterdam co-located with SEMANTiCS2017: The perspective of European official statistics by Fernando Reis, Task-Force Big Data, European Commission (Eurostat).
Big Data Europe SC6 WS 3: Ron Dekker, Director CESSDA European Open Science A...BigData_Europe
Slides for keynote talk at the Big Data Europe workshop nr 3 on 11.9.2017 in Amsterdam co-located with SEMANTiCS2017 conference by Ron Dekker, Director CESSDA: European Open Science Agenda: where we are and where we are going?
Big Data Europe: SC6 Workshop 3: The European Research Data Landscape: Opport...BigData_Europe
Slides of the keynote at the 3rd Big Data Europe SC6 Workshop co-located at SEMANTiCS2018 in Amsterdam (NL) on: The European Research Data Landscape: Opportunities for CESSDA by Peter Doorn, Director DANS, Chair, Science Europe W.G. on Research Data. Chair, CESSDA ERIC General Assembly
The BigDataEurope 3rd Workshop took place on November 28, 2017 in Amsterdam. The workshop focused on learning about current and future data management challenges, Big Data tools, and the Open Big Data Platform. The agenda included talks on EU priorities on energy and digitalization, asset management and Big Data in wind energy, the BDE Open Platform, and system monitoring case studies. There was also a roundtable discussion on future data needs, the BDE platform, and research opportunities.
BDE SC3.3 Workshop - Data management in WT testing and monitoring BigData_Europe
Aresse Engineering is a company that provides engineering services including data acquisition, analysis, and monitoring for industries like wind energy. They have grown from 9 engineers in 2007 to over 20 staff members today. To address challenges of big data, Aresse developed tools like XDAS for acquisition, Hivex for data transfer, and a cloud platform called Hive for storage, analysis, and visualization of data. These tools allow customers to access massive amounts of synchronized measurement data. Machine learning and physical models are areas of ongoing development to enhance data quality.
BDE SC3.3 Workshop - Options for Wind Farm performance assessment and Power f...BigData_Europe
Options for Wind Farm performance assessment and Power forecasting (Mr. A. Kyritsis, ALTSOL/TERNA) at the BigDataEurope Workshop, Amsterdam, Novermber 2017.
Big Data Europe: Workshop 3 SC6 Social Science: THE IMPORTANCE OF METADATA & ...BigData_Europe
Big Data Europe: Workshop 3 SC6 Social Science - 11.09.2017 in Amsterdam, co-located with SEMANTiCS2017 titled: THE IMPORTANCE OF METADATA & BIG DATA IN OPEN SCIENCE. Slides by Ivana Versic (Cessda) and Martin Kaltenböck (SWC)
This document summarizes the MIDAS project, which is funded by the European Union to develop a platform using big data to support public health policies. The key points are:
1) MIDAS has received top funding scores and will receive €4.5 million over 40 months. It involves universities, technical partners, and policy boards across Europe.
2) The project aims to improve public health policies across Europe by facilitating analysis of diverse health datasets using its platform. This could lead to more effective policies and citizen benefits.
3) MIDAS will develop a secure data integration and analysis platform, with visualization tools to help policymakers. It will gather data from various sources to inform policy creation and evaluation
Open Source Contributions to Postgres: The Basics POSETTE 2024ElizabethGarrettChri
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Build applications with generative AI on Google CloudMárton Kodok
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
"Financial Odyssey: Navigating Past Performance Through Diverse Analytical Lens"sameer shah
Embark on a captivating financial journey with 'Financial Odyssey,' our hackathon project. Delve deep into the past performance of two companies as we employ an array of financial statement analysis techniques. From ratio analysis to trend analysis, uncover insights crucial for informed decision-making in the dynamic world of finance."
3. Big Data in Marketing
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4. Big Data in Intelligence
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5. BigDataEurope aims to help maximizing
the societal value of Big Data
¥ Health, demographic change and wellbeing;
¥ Food security, sustainable agriculture and forestry, marine and
maritime and inland water research, and the Bioeconomy;
¥ Secure, clean and efficient energy;
¥ Smart, green and integrated transport;
¥ Climate action, environment, resource efficiency and raw
materials;
¥ Europe in a changing world - inclusive, innovative and
reflective societies;
¥ Secure societies - protecting freedom and security of Europe
and its citizens.
27-Nov-15www.big-data-europe.eu
6. The three Big Data „V“ – Variety is
often neglected
Quelle: Gesellschaft für Informatik
10. BigDataEurope Rationale
¥ Show societal value of Big Data
¥ Lower barrrier for using big data technologies
o Required effort and resources
o Limited data science skills
o Lack of Generic Architectures, components
¥ Help establishing cross-lingual/organizational/
domain Data Value Chains
o Multiple Data Sources
o Required: Integration, Harmonisation
27-Nov-15www.big-data-europe.eu
16. Blueprint of the Data Aggregator Platform
¥ Follows typical Lambda Architecture
¥ Integrated on top of existing Big Data distribution
¥ + Semantic Layer (Retaining Semantics using LD approach )
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
Transactional
Imagery
17. Data Aggregator Platform Challenges
¥ Ingest semantic (RDF) and non-semantic (CSV,
JSON, XML, …) data
o Integrate various mapping techniques (R2RML, CSV on
the Web, JSON-LD)
¥ preserve semantics, provenance and metadata in
Big Data processing chains
o Preserve URI/IRIs
o Preserve triples
¥ Exploit semantics for aggregations
27-Nov-15www.big-data-europe.eu
18. Current Activities – Year#1
¥ 2015 BDE Societal Workshops (7) Planned
o Schedule on Website
¥ 7 W3C Interest Groups set up: Please Join!
o SC1: HEALTH https://www.w3.org/community/bde-health/join
o SC2: FOOD & AGRICULTURE https://www.w3.org/community/bde-food/
o SC3: ENERGY https://www.w3.org/community/bde-energy/
o SC4: TRANSPORT https://www.w3.org/community/bde-transport/
o SC5: CLIMATE & ENVIRONMENT https://www.w3.org/community/bde-climate/
o SC6: SOCIETIES https://www.w3.org/community/bde-societies/
o SC7: SECURITY https://www.w3.org/community/bde-secure-societies/
www.big-data-europe.eu
20. Sören Auer
Big Data Europe Coordinator
Fraunhofer IAIS & University of Bonn
auer@cs.uni-bonn.de
Thanks
27-Nov-15www.big-data-europe.eu
21. ¥ Data
¥ Integration is a prerequisite, analytics
¥ Root cause analysis functioning like Human immune
system
¥ Incremental data processing (trends, changes) reduces
the load
¥ Data importance identification
¥ Big data appliance
¥ Medical images, clinical reports
¥ Semantics is a problem – evolving, community driven
27-Nov-15www.big-data-europe.eu