The IEEE Metro Area Workshop (MAW) on Large Scale Data Management is organized by Institut supérieur d’électronique de Paris (ISEP) with the support of IEEE Region 8. It offers a one-day training opportunity in large-scale data management technologies.
For this second edition, the MAW considers topics covering critical areas of large-scale data management domain and related applications: (i) big data processing, (ii) data protection, (iii) intelligent and connected objects (IoT), and (iv) Smart cities.
The main goal of this MAW is to gather professionals involved in large-scale data management, and thus allowing participants to:
meet experts in the domain of large scale data management and related topics (such as Smart cities, IoT and Data Protection),
have an overview of scientific and technical challenges that can be encountered in this domain, come up with collaboration opportunities around these challenges,
learn about large-scale data management tools through practical sessions.
The workshop will be organized into four keynote sessions in the morning, which cover the fundamental and theoretical aspects of the topics, as well as the latest technology developments and requirements. In the afternoon, two parallel lab sessions will allow participants to gain a concrete understanding of some large-scale data management tools.
|9:05||Keynote 1: Introduction to big data processing||Raja Chiky||Head of RDI Research Team, ISEP|
|9:45||Keynote 2: Smart cities||Gilles Betis||Mobility & Smart City - Action leader, EIT Digital, Thales, IEEE Smart Cities Initiative|
|11:00||Keynote 3: Distributed Intelligence… a mandatory approach for the Internet of Things (and beyond)||Philippe Gautier||Business2Any Founder, IoT Expert|
|11:45||Keynote 4: Data Protection||Anne Barbier Goliro||IT consultant in Data Protection and Security|
|14:30||New opportunities offered by graph databases||Cedric Fauvet||Business Development France at Neo Technology|
Speaker: Raja Chiky
New tendencies of real-time systems, such as social networks, sensors, cameras or weather information, are continuously generating data. This implies that data and links between them are becoming extremely vast. Such huge quantity of data needs to be analyzed, processed, as well as stored if necessary. In this talk, we will introduce recent work on Real-Time Business Intelligence that includes Big Data technologies and data stream management systems.
Raja Chiky is currently Associate Professor at ISEP where she is head of the RDI team(Research and development in Information Technology) and responsible for Big Data courses. She holds a Ph.D. in Computer Science from Telecom ParisTech obtained after a Master degree in data mining and an engineering degree in computer science. She gives lectures in statistics, databases, data mining, and Big Data at several universities: the University of Paris Dauphine, University Paris 12, Centrale-Supelec, CNAM, Telecom ParisTech, ISEP, etc. Her research interests include statistics, data mining, data warehousing, data stream management, recommender systems, and cloud computing.
Speaker: Gilles Betis
As world urbanization continues to grow and the total population expected to double by 2050, there exists an increased demand for intelligent, sustainable environments that reduce environmental impact and offer citizens a high quality life. A smart city brings together technology, government and society to enable a smart economy, a smart mobility, a smart environment, a smart governance, but also smart people and smart living.
IEEE is seeing an opportunity to collaborate with municipalities and regions in managing this transition to urbanization. This would include raising awareness of the benefits and downsides of technology and help guide the appropriate uses of technology. The IEEE Smart Cities Initiative will create a network of ten Core Smart Cities, hundreds of Affiliated Smart Cities and an international expert network. They will share expertise, knowledge, questions, concerns etc, and will involve a community of municipalities or regional governance bodies, universities, industries and local IEEE volunteers groups. Knowledge exchange will be supported by working groups, student specific work, MOOCs repository and yearly international conferences.
Gilles Betis leads the Urban Life and Mobility action line of EIT Digital and is chair of the IEEE Smart Cities Initiative, and member of the French IEEE Section, Region 8. As an engineer in Thales, Gilles has been involved for more than 20 years in the design of complex systems. Holding positions of product line manager, marketing manager and solution leader, he has been constantly involved with prospective, innovation and product design matters. Through a holistic and systemic approach, he always linked up emerging behaviours and societal needs to innovative technological solutions. Gilles is an Engineer graduated in 1987 from Ecole Supérieure d’Electricité, in France.
Keynote 2: Distributed Intelligence… a mandatory approach for the Internet of Things (and beyond) 11:00 - 11:45
Speaker: Philippe Gautier
IoT and Big Data are two neologisms coming from the same origin: a major change in IT technologies. They do also have the same disruptive characteristics, and face the same issues:
Increasing of complexity in fully open value chains (any-to-any relationships, mobility, pervasive or ubiquitous computing, complex event streaming processing, etc.),
Parallel generalization of a digital chaos, due to the inadequacy of existing Information System approaches (functional limited designs, determinism, top-down architectures…),
Overload of user (human) cognitive load… then stress (technical solutions VS socio-technical integration, lack of fuzzy logic, need of contextual and real-time arbitration between many events or Applications, etc.),
For many reasons, pure bottom-up approaches (most of the Big Data offers) are not the only solutions: distributed, self-adaptive, self-scalable and self-learning Information Systems… that simply respect the principle of subsidiarity are better ways to explore.
Philippe Gautier leads Business2Any, a consulting services company speciliazed in distributed atrificial intelligence (DAI) systems. This company, a historical reference in Internet of Things with over 20 years of cumulated experience, was the first to introduce the CyberObject concept, now taken over by numerous opinion leaders in this domain. P. Gautier has a long experience in information systems management, which allowed him to be the first in Europe to deploy EPGCGlobal standardized solutions for B2B IoT. He obtained several awards throughout his career in 2005 (GS1 de l’innovation), 2006 (Le Monde Informatique PME), and in 2007 Lauréat PME and Jury Special Price from 01 Informatique.
He is one of the rare specialists of the B-ADSC and author of numerous articles in press and scientific materials. Moreover, P. Gautier regularly takes part in conferences, meetings, interviews and radio shows; he is the owner of the “Internet of Things” LinkedIn group (> 45.000 members). Finally he is the main author of the book “l’Internet des Objets… Internet mais en mieux”, 2011 ISBN : 978-2-12-465316-4
Speaker: Anne Barbier Goliro
This keynote aims to be an introduction to the principles of personal data protection. We will try to address questions such as :
- What is implied by the deployment of personnal data storage and analysis in a big data context ?
- How to handle related risks and duties ?
Anne Barbier Goliro can manage any security conformance or data protection project. In the span of a few years, EU reinforcements in data protection legislation will have a strong impact for companies and businesses: less formality, more accountability. Having a double expertise in both IT and personnal data, Anne Barbier Goliro manages projects related to personnal data protection: - Conformance programs, BCR deployments, personnal data policy, - Risk impact analysis and management, - Audit / conformance testing, - Conformance program planning, - Training, personnal data protection awareness,…
Neo4j is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions. The programmer works with a flexible network structure of nodes and relationships rather than static tables — yet enjoys all the benefits of enterprise-quality database. For many applications, Neo4j offers orders of magnitude performance benefits compared to relational DBs.
Speaker: Cedric Fauvet, Business Development France chez Neo Technology
Practice with Neo4J database
Learn how to install, deploy and use a graph database to analyse large quantities of linked data.