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Big Data Expo

Location: Jaarbeursplein, Utrecht, The Netherlands
Date: September 30, 2015 12:00 amfloq.to/eg3F4

The Big Data Expo is the biggest Big Data event of the Benelux, in the Netherlands!’
From sept. 30 to oct. 1 at the Jaarbeurs Utrecht.’
There will be thousands of visitors looking for tools to make their data relevant.’

This two-day exhibition will focus on the opportunities to make very large (unstructured) data sets relevant. You will meet the brightest minds, innovators and leaders in the area of ??Big Data, and you can meet thousands of other data professionals.’
This year the main topics will be: ‘How do I start with Big Data’ and “How to merge Data Science and New Business models”‘

Themes: Data Analytics; Hadoop: Privacy; Security; Marketing Intelligence; Datamining; Predictive Analytics; Infrastructure- and Cloud solutions; New Business Models.’

Featured Speakers: Adidas, Twitter, Google, Ikea, RTL, eBay, Schiphol Airport, Wehkamp, KPN, Bol.com, TomTom, Amsterdam Arena, Randstad and many more!’

The Goldsponsors are: IBM, HP, Cisco, Teradata, Microsoft, Amazon Webservices & O2mc.’

Sign up now for a free pass!


HOW SHELL, SCHIPHOL, IKEA & ADIDAS IMPLEMENT THEIR BIG DATA STRATEGIES SUCCESFULLY’

In two days you can learn from almost 100 experts from home and abroad’ all about the latest trends and development in the field of Big Data. On the exhibition floor you will meet more than 60 enthusiastic vendors with products and services in this enervating field.’
“The widest range of Big Data expertises under one roof!”‘

How can you use Big Data effectively and efficiently? How can Big Data give you reliable insights structurally and how to create a competitive advantage?’

Featured Speakers: Hortonworks MapR Anchormen Godatadriven IBM Comscore Teradata Amazon Webservices

DON’T MISS OUT ON THIS, REGISTRATION IS FREE!’

Opening Big Data Expo:
Wednesday, September 30, 2015 – 10:00 to 17:00′
Thursday, October 1st, 2015 – 10:00 to 17:00′
Jaarbeurs Utrecht HALL 4, the Netherlands’

www.bigdata-expo.nl

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Tags: Big Data big data analytics Big-Data-as-a-Service Business analytics Hadoop machine learning mixed data organisations predictive analytics vendors

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