home 
 
 
 
ennl
 
Home
A propos
Services
Cours
Ressources
Contacts
MyABIS
C
Tous les coursbalkjeGénéralités » Introduction HW & SW » Soft skills » Cycles completsSystèmes d’exploitation » MVS - z/OS » Linux - UNIX » Mac OS X » iPad et iPhone iOSBases de données et middleware » Relational databases & SQL » Db2 for z/OS » Db2 for LUW » Oracle » SQL Server » MySQL & MariaDB » IMS » CICS » IBM MQ » WebSphere » Data Science, Big data et analyticsDéveloppement d’applications » Méthodiques et techniques » TOGAF » PRINCE2 » Agile et Scrum » Les langages de programmation » Internet development » Object Oriented systems » Java » Development tools » SAS » XML » SOA & web servicesGestion de système » ITIL » SecuritybalkjeEn pratiqueInscriptions 
Cette page n'est pas disponible en français.
Big data concepts

These days everybody seems to be working with "big data". But what does this mean precisely? What kind of data are we speaking about? Which infrastructure does one need for it? And what does it buy us?

Data is gradually becoming more and more vital to any kind of enterprise. Analysing large amounts of data aimed at optimizing enterprise processes, marketing, important decisions, ... is not new. But because of the steadily increasing data volumes, the increasing diversity of data sources, and the broader availability of data, such an analysis is expecting always more from the infrastructure, the software, and the data models. In so far even that it seems like a new framework will be necessary. The traditional, established relational model seems to fall short in describing and guiding the new challenges of "data analysis for business intelligence".

"Big data analytics" is the name of this coordinating framework, in which both old models and techniques (like date warehousing, online analytic processing, Hadoop, cluster analysis, ...) and newer insights (data in motion, emotional text analytics, ...) have found each other. The capability to condense relevant insights from more diverse, larger, and rapidly changing data, can help managers and other decision makers to better support their decisions.

This course gives a general picture of big data and what it represents: an overview is given of the technologies on which it is based, and the frequently heard technological terms which we need to get acquainted with are placed in context and perspective.

Schedule

dateduréelang.  lieu  prix
30 Oct1NLeuven  (BE)500 EUR  (excl. TVA)  garanti
13 Nov1EWoerden  (NL)500 EUR  (exempte de TVA) 
INFO SESSION ET INSCRIPTION

Intended for

This course is designed for everybody who wants to learn about big data: IT personnel, people confronted with big data technologies. Also for non (IT) technical collaborators.

Background

Elementary knowledge of database management systems is an advantage.

Main topics

Training method

Classroom training.

Duration

1 day.

Course leader

Peter Vanroose, Kris Van Thillo.

Score global

   
4.0/5 (basé sur 14 évaluations)

Reviews

     
Prima, voldoet aan verwachtingen (, )
     
hoeveelheid info en tempo van lesgever was te hoog. (, )
     
Zeer enthousiaste docent, maar ik zoek nog voor wie deze cursus interessant is in mijn team. Deel 1 van de training was voor mij zeer waardevol (, )
     
Goed, veel geleerd van Big Data voor toekomstig toepassen (, )
     
Goede cursus, mooie balans tussen concepten en technieken (, )
     
Goede introductie om alle terminologie en de verbanden tussen alle componenten duidelijk te maken (, )
    zeer enthousiaste docent; zeer veel theorie en details. Eigenlijk teveel theorie wat na de middag niet meer binnenkomt (N.N., May 2016)
     
goed overzicht (, )

INFO SESSION ET INSCRIPTION