Big Data convention Conferences
You will find below the lectures were presented on September 25, click on PDF presentations to see the full content of each presentation.
PENTAHO – From 9h40 to 10h10
« De BI Big Data »
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Business Intelligence for Big Data
This presentation will be a journey through classic and modern BI destinations, shows a series of snapshots of different use cases. During the session, we emphasize the capacity and flexibility that a BI tool needs to accompany you on your journey from traditional BI deployments to the modern big data challenges.
Biography for Jan Aertsen:
Jan Aertsen has worked in IT and decision support for the past 15 years. Since the beginning of his career he has specialized in data warehouse (DWH) design and business intelligence (BI) projects.
Jan holds the degree of Commercial Engineer (« Handelsingenieur ») with a specialization in international business affairs from the Catholic University of Leuven (Belgium) and has extended his BI knowledge through a master in Artificial Intelligence.
Over the years Jan has worked his way through every possible aspect of BI from KPI and strategy definition over budgeting, tool selection and software investments acquisition to project management and all implementation aspects with most of the available tools. He knows the business side as well as the IT side of BI, and therefore is one of the rare people that is able to give you a sound, all-round advice on BI.
In 2011 Jan took up the position of EMEA engagement manager at Pentaho, managing the Professional Services in EMEA & APAC.Take a look at evolving business intelligence and data warehousing arhictectures
MAPR – From 10h15 to 10h45
« Big Data, No SQL, BI et sécurité du cloud »
Aurelien Goujet, MapR’s Pre-Sales Director Southern Europe and Benelux
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Big Data MapR est utilisée par des sociétés issues de la finance et de l’assurance, des médias, de la recherche et de la santé, de l’industrie, des administrations, des chaînes de commerce de détail, ainsi que par les principales entreprises Fortune 100 et Web 2.0, permettant à toutes ces sociétés ou organisations d’analyser des centaines de milliards d’éléments sur une base journalière, des donnéesconcernant 90 % de la population connectée à Internet sur une base mensuelle, et plus de mille milliards de dollars de transactions de commerce de détails sur une base annuelle.
Le siège social de l’entreprise est situé à San Jose, Californie, USA, et elle a ses bureaux européens à Londres, Paris, Stockholm et Munich. Consultez www.mapr.com pour de plus amples renseignements concernant l’entreprise et ses produits. Pour télécharger la version la plus récente de Apache Hadoop de MapR Distribution, veuillez vous rendre sur www.mapr.com/products/download.
Son intervention: « Présentation des différentes technologies permettant de proposer du SQL interactif dans la distribution Hadoop de MapR »
MapR propose une distribution Hadoop d’entreprise qui fournit l’ensemble des fonctionnalités nécessaires à la mise en production d’applications critiques. MapR assure une disponibilité et une simplicité d’utilisation sans précédent et délivre une performance record pour les environnements Hadoop, NoSQL, ainsi que pour les applications temps réel, et ce, à travers une seule plateforme Big Data unifiée. MapR est utilisé aussi bien dans les services financiers, la grande distribution, les médias la santé, l’industrie, les télécommunications et dans les organisations gouvernementales, que par des entreprises du classement Fortune 100 et par les sociétés « Web 2.0 ».
Neo Technology - de 11h00 à 11h30
« Make it matter with a Graph Database »
Rik Van Bruggen
description: Graphs can easily make the connections across friendships, geography and your domain to make sense of data, for you and your users. This introductory session covers the common concepts of using a graph database to best store and leverage connected data, showing how they apply to real-world use cases.
•Understand the model of a graph database and how it compares to document and relational databases
•Understand why graph databases are best suited for the storage, mapping and querying of connected data
•A vendor-neutral look at the current implementation of graph databases in a wide array of industries
Biography: Rik Van Bruggen is the regional territory manager for Neo Technology for the BeNeLux, UK, and Nordics. He has been working for startup companies for most of his career, and while he has a fond technical interest, really is passionate about business – and about Belgian Beer.
IBM – From 11h35 to 12h05
« Let Big Data connect the dots in your business – A real & local use case »
Falke Van Onacker
Segment Leader for Big Data Analytics – Belgium & Luxembourg
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Abstract: The Big Data world keeps buzzing around, so hard that one would overlook the real Use Cases and Projects that have been delivered. IBM will elaborate on local & international « Big Data » Clients and the difference they bring to their business. In the past 8 years, IBM has invested over 20 Billion in R&D in the Analytics domain, employing over 10.000 professionals in this domain, and partnering with many (local) integrators and other software vendors. With our recent 1 Billion investment in « Watson », IBM is very clear about its ambitions to be THE partner for any organization to make a business impact with Big Data Analytics.
Bio: For around 10 years, Falke is assisting all kind of organizations (commercial, not-for-profit, public sector, healthcare,…) in their BI & DWH Journey. More recently, he is driving the adoption of Big Data (Yes! the hype buzz-word is becoming reality with Projects) Analytics solutions, to help Clients delivering a shift in the business impact they can make. Falke is fond of new technologies, he likes to challenge the « status-quo » and is passionate to share what the new possibilities are when adopting the right solution at the right time. In Belgium and Luxembourg there are now over 10 clients who have chosen IBM as their partner for their Big Data projects.
Cronos – From 12h10 to 12h40
Hadoop in the Enterprise,
Experiences from the Front Line
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As a new set of highly distributed technologies, planning a Hadoop deployment can seem imposing. We will discuss quick-win usage patterns, dimensioning guidelines and integration recommendations for those looking to get started using Hadoop – whether for deployment on-premise or in the cloud.
Robert Gibbon, a technology services professional with 15 years field experience who has worked in environments ranging from large enterprise
to large and small consultancy practises through to technology startups. Robert has been working with Big Data technologies since 2009 and is now heading up Big Industries, part of the Cronos Group, a specialist consultancy offering planning and systems integration services for Hadoop
to the Belgian IT market.
PENTAHO – From 14h00 to 14h30
« Practical Big Data Blending with Pentaho Data Integration »
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Abstract: During this practical demo and overview of Pentaho software we will show you how to graphically design a Hadoop data integration job to later blend it with data from MongoDB through a virtual table. We will display the results in our reporting and OLAP tools
Bio : « Matt Casters is the founder of the Kettle open source data integration project, now called Pentaho Data Integration. He’s the chief of data Integration at Pentaho and lives and works in Belgium »
Fire Eye – From 14:35 to 15:05
« Are Advanced Threats also invading the Data Center? »
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Description: Organisations really more and more on data centers. They provide a scalable, sustainable and multi service model to structuring and serving data. However, they are targeted by advanced attacks. This workshop discusses different methods to exfiltrate information from your data centre without you knowing about it. We then present tools and techniques to prevent your data being exfiltrated from your data center.
•understand new threats impacting data centers
•Building a winning strategy to combat those threats
Round table: «IS BIG DATA LEGAL?» From 15H15 To 16h15
Philippe Laurent – MVVP
Télécharger en format PDF
Google has been fined by the Spanish data protection authority.
Facebook is currently subject to a class action lawsuit in Austria for illegal processing of personal data.
In France, illegal extractions of publicly available data on the Internet have also recently been sanctioned on the basis of the database right.
Whereas Big data is compared to a new gold rush, it has been perceived as a major threat that challenges the current legal framework.
How can we benefit from Big Data’s huge potential and remain compliant?