atelier produit
mercredi 3 avril 2013

10h00
10h30

The exploitation of dynamic and intelligent data

software
Speaker:
Fabrice Hugues : Technical Director – SOFTWARE AG France
ombre

10h30
11h00

Feedback : 1year after the implementation of a Hadoop cluster

software

1/ Origin of the project (use-case IngensiSearch)
2/ Projet team, how to make a HadoopTeam
3/ Phase 1 : Implementation of a POC, perimeter and use-case
4/ Phase 2 : Infrastructure and architecture target: decision grid for equipment, (Gamme C6200)
5/ Phase 3 : Industrialization and scalability: (Being agile at all levels + Dell Crowbar)
6/ Phase 4 : Calculation of ROI and evolutionary perspective

Speaker:
Christophe Cerqueira :Cerqueira :Departement Consulting Director – CYRES
Guillaume Polaert : Architect Big Data - CYRES
ombre

11h00
12h00

EXALEAD CloudView :

software

The research technology to give a sense of Big Data and make it accessible to all

Speaker:
Sébastien Blettery :Technical Sales Specialist – EXALEAD Dassault Systèmes
Sylvain Utard : R&D EXALEAD CloudView Development Manager – EXALEAD Dassault Systèmes
ombre

12h00
12h30

Expect More From Hadoop

software

As many enterprises deploy Hadoop into production, they are finding that it is not the volume or velocity of their data that is problematic right away, but rather the variety of the types and formats of their critical data.

There are too many data sources for this critical data and not enough integration. This leads to increasing infrastructure costs as companies need to run separate Hadoop, NoSQL and enterprise environments as well as increased engineering deployments to coordinate the moving parts. Enterprises are spending more on system upkeep and not keeping up with their business analysis.

This presentation will provide an overview on how leading companies have integrated Hadoop, NoSQL (HBase) and enterprise sources on one platform. Data is combined and processed in one simplified architecture freeing up resources to get more out of Hadoop. Case studies and reference architectures will be reviewed to demonstrate how companies have succeeded in generating Big Data insights with less infrastructure costs.

Speaker:
Ted Dunning :Chief Application Architect - MapR Technologies
ombre

12h30
13h00

All about SAP HANA

software

Participate in this workshop to fully understand SAP HANA, our innovative platform In-Memory to manage and analyse in real time important volume of data for less, while reducing the complexity of your IT infrastructure

Speaker:
Jean-Michel Jurbet :of Market BI Solutions analysis- SAP
ombre

13h30
14h00

Une expérience concrète du Big Data : de la donnée à l'utilisateur final

Au cours de cet atelier seront abordés les points suivants :
•    Mise en œuvre d’une architecture Big Data : Solutions Hadoop / IBM BigInsights
•    Intégration de données dans Hadoop
•    Restitution BI : exemples avec des outils de reporting
•    Application à la géolocalisation de données

Intervenant:
Hugues Teissier du Cros: BIwhere consulting
Thomas Lejars: BIwhere consulting
Jacques Rozenblum: BIwhere consulting
ombre

14h00
14h30

The Big Data out of the clouds

software

Attend this workshop to understand everything about SAP HANA, our innovative In-Memory plateform to process and analyse in real-time huge quantities of data, on a very cheap basis, while limiting the complexity of your IT infrastructure

Speaker:
Guy Chesnot :Senior Stock Consultant – SGI
ombre

14h30
15h00

Discover why QlikView and Google Big Query provides a simple, quick and inexpensive to analyse Big Data in business departments.

software

Presentation Details:
Presentation of Big Data challenges for Next Generation BI
Introducing Google BigQuery
QlikView QlikView Overview and Business Discovery
Live presentation of QlikView analysis of business data combined with data stored on Big Data
Google BigQuery (architecture, user experience, overview of the implementation)

Speaker:
Romain Chaumais :Operations Director - Ysance
Richard Hooft :Director of BI Services - Ysance
ombre

15h00
15h30

Datazoom Platform: democratize access to platforms Bigdata Haddop

software

Datazoomr democratizes access to platforms Bigdata Hadoop. In this workshop discover the ease of use of a managed platform, and the ability to process your information with the simplest possible operations. With Datazoomr improve your productivity by focusing only on information processing. Through simple examples we will use multiple sources of data (financial data, open data, web logs and analytics) to create queries and reports

Speaker:
Vincent Heuschling :Technical Direction, Virtualscale
ombre

15h30
16h00

Beyond Hadoop, big data analytics in real time with ParStream.

software

Introduction to the award-winning and innovative platform ParStream and a selection of use cases While traditional databases reach their limits with big data, companies are trying to develop real-time decision support and integrate the analysis of massive data in the process of production and sales. This workshop will give a brief introduction to the award-winning and innovative platform ParStream and a selection of use cases..

Speaker:
Daniel Eckstein :Techinical Applications Expert, ParSteam
Peter Livaudais :Senior Director Solutions, ParStream
ombre

16h00
16h30

Sinequa Unified Information Access: the four V use. How to extract value from large volumes of very volatile heterogeneous data?

software

Demonstration of use in telecommunications.

Speaker:
Luc Manigot :Opérations director, Sinequa
ombre

16h30
17h00

Big Data in the service of customer acquisition on the internet to increase sales

How big data builds a platform for decision real-time targeting and retargeting

Speaker:
Vincent Karachira : CEO, Nextperformance
ombre

17h00
17h30

Les nouvelles opportunités offertes par les bases de données de graphe

Si vous vous arrachez les cheveux avec de nombreuses jointures et les procédures stockées complexes il est fort possible que vous soyez entrain de construire un graphe sans le savoir car les graphes sont partout. Depuis l'ajout d'une couche sociale aux applications web jusqu'à l'analyse d'impact sur un réseau telecom en passant par la recherche en Biologie, de nombreuses organisations on adopté les bases de données de graphes et leur modèle de données parfaitement adapté aux requêtes complexes et hautement connectées tout en garantissant des performances exceptionnelles.
Découvrez avec nous se qu'apporte la puissance de Neo4j à une large variété de clients tels que Adobe, Ciso, Deutsche Telekom ou Viadeo.

Speaker:
Cédric Fauvet : Responsable du Développement en France, Neo Technology
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mercredi 3 avril 2013

10h00
10h30

How to transform your data into ROI

With the explosion of data, it is increasingly difficult to identify those that will generate value.
The ROI approach deployed by Tata Consultancy Services is based on an analysis 3V (Volume, Variety, Velocity) and allows you to:
- Identify priority areas when setting up a Big Data project
- Address concerns or business techniques to generate value.
Reduced time reporting, fraud detection and prevention, development of real-time targeted offers, our experts will present the Big Data projects for clients from different sectors and their results in terms of ROI.

Speaker:
Elodie Solirenne :Big Data Solution Leader - Tata Consultance Services France
Ajay Bhargava : Director Big Data & Analytics Solutions - Tata Consultancy Services USA
ombre

10h30
11h00

EXALEAD OneCall : the Big Data solution for call centre clients

software
Speaker:
Benoit Bourdé : Offer Manager EXALEAD OneCall – EXALEAD Dassault Systèmes
Bertrand Martel : Technical Sales - EXALEAD OneCall - EXALEAD Dassault Systèmes
ombre

11h00
11h30

« Feasibility Study: Analysis and enhancement of web logs an automotive architecture on Big Data »

software

Presentation Details
Processing chain big data – Implemented in six steps – Presentation of the Hurence solution – Olympe® , OLAP on Big Data
Filtering and pre-processing
Enrichissement via la solution Hurence - GetMore®
An example of value added application : the selective geolocation

Speaker:
Laurence Hubert : CEO, CTO - Hurence
Eric Sommervogel : Big Data Evangelist, A.I.D.
ombre

11h30
12h00

Discover why QlikView and Google Big Query bring a simple, faster and less costing answer to the analysis of Big Data within business depatments

software

Details of the presentation :
Presentation of Big Data issues for the New BI generation
Presentation of Google BigQuery
Presentation of QlikView and QlikView Business Discovery
Presentation live of a QlikView analyse application of combined business data with Big Data stocked on Google BigQuery ( architecture, user experience, overview of the implementation)

Speaker:
Romain Chaumais :Director of operations - Ysance
Richard Hooft :Director of BI Services - Ysance
ombre

12h00
12h30

Beyond Hadoop, big data analytics in real time with ParStream.

software

Introduction to the award-winning and innovative platform ParStream and a selection of cases studies.
While traditional databases reach their limits with big data, companies are trying to develop real-time decision support and integrate the analysis of massive data in the process of production and sales. This workshop will give a brief introduction to the award-winning and innovative platform ParStream and a selection of cases studies.

Speaker:
Daniel Eckstein :Technical Expert of applications, ParSteam
Peter Livaudais :Senior Director Solutions, ParStream
ombre

12h30
13h00

The situational analysis inductive: a new answer to the BIG DATA adapted to real-time constraints of e-commerce

software

How the concepts of situational analysis in the integrated solution of websales in e-commerce, Booster Award for paris show 2011, revolutionized the understanding of the expectations of users in real-time without modeling or maintenance scenarios.
By focusing on the peculiarities of the present rather than the past completeness By incorporating inductive mechanisms instead of the deduction Using the mechanisms of self-learning

Speaker:
Henri Marty : Directeur Général - Netwave
Jean-Pierre Malle : Directeur Scientifique - Netwave
ombre

13h30
14h00

Une expérience concrète du Big Data : de la donnée à l'utilisateur final

Au cours de cet atelier seront abordés les points suivants :
•    Mise en œuvre d’une architecture Big Data : Solutions Hadoop / IBM BigInsights
•    Intégration de données dans Hadoop
•    Restitution BI : exemples avec des outils de reporting
•    Application à la géolocalisation de données

Intervenant:
Hugues Teissier du Cros: BIwhere consulting
Thomas Lejars: BIwhere consulting
Jacques Rozenblum: BIwhere consulting
ombre

14h00
14h30

The Big Challenge of Big Data and Hadoop Integration

software

Enterprises can't close their doors just because integration tools won't cope with the volume of information that their systems produce. As each day goes by, their information will become larger and more complicated, and enterprises must constantly struggle to manage the integration of dozens (or hundreds) of systems.
Apache Hadoop has quickly become the technology of choice for enterprises that need to perform complex analysis of petabytes of data, but few are aware of its potential to handle large-scale integration work. By using effective tools, integrators can process the complex transformation, synchronization, and orchestration tasks required in a high-performance, low cost, infinitely scalable way.
In this talk, Cédric Carbone will discuss how Hadoop can be used to integrate disparate systems and services, and provide a demonstration of the process for designing and deploying common integration tasks.

Speaker:
Cédric Carbone : Chief Technical Officer - Talend
ombre

14h30
15h00

Hadoop and the challenges of SaaS

software

- 1Overview of different solutions: Amazon, Big Query, etc.. and newcomers CloudWatt
- 2 / Findings and limitations
- 3 / What are the challenges for today and tomorrow
- 4 / vision Ingensi / DELL
- 5 / private cloud or cloud Ingensi
- 6 / Offer "hadoop-ready" or how to test in real conditions Hadoop

Speaker:
Christophe Cerqueira : Directeur Departement Consulting – CYRES
Guillaume Polaert : Architecte Big Data - CYRES
ombre

15h00
15h30

Getting Real-Time Answers with a New-Age Data Analytics Platform

software

Imagine a world where a conversation with your data brings you real-time answers that enable you to understand and drive your business. This vision can be achieved with a new-age data analytics platform: the HP Vertica Analytics Platform. Unlike traditional data warehouses, the HP Vertica Analytics Platform was designed from the ground up for real-time analytics at the scale of Big Data. Join this technical workshop to learn about the conversational analytics concept, the challenges it poses and how HP Vertica addresses them while driving down the cost of capturing, storing and analyzing data

Speaker:
Yassine Faihe : Data Scientist – HP Vertica
ombre

15h30
16h00

Innovations in Predictive Business Intelligence

software

Within this session on a new decisional solution, SAP Predicitve Analysis, which combines the analytical and statistical capabilities to respond to needs of demanding business users always looking for more autonomy.

Speaker:
Stéphane Jouaux : Vice-President Sales EMEA Predictive Analytics- SAP
ombre

16h00
17h00

Big Data new analytical paradigm - Impact on analytical ecosystem

software

Optimise processes and ways of exploration to gain on Time To Market
Case study & Demonstration Teradata Aster Data – Hadoop
Evolution of the Analytic ecosystem : Unified Data Architecture

Speaker:
Jean Marc Bonnet : Applied Innovation CEO – Teradata International
Florian Xhumari : Applied Innovation CEO – Teradata International
Yannis Marigo : Lead Solution Architect – Teradata Aster

17h00
17h30

Using the right BIG DATA tool for Realtime value

The session with focus on the Big Data tools landscape and how to combine the core strengths and avoid the weaknesses of various offerings. There will be a focus on how to get real value from the data and how some Enterprises are changing the way they do business and optimizing their customer experiences.

Intervenant:
Eddie Satterly : Splunk
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