EVENTS

ADS Data & Drinks: Big Data Management & Analytics

Details

April 07, 2017 - 15:30
Meet-up

Venue

52.3337568
4.865719899999931

Date: Friday, April 7, 2017

Time: 15:30-18:00

Location: Room Q112, 1st Floor, W&N Building (FEW/Faculty of Sciences – 1081 entrance), VU Amsterdam. See number 4 in the map, De Boelelaan 1081 (W&N) 

The ADS Meet-up offers the opportunity for researchers and business to share their knowledge and give insight on a central theme, specifically on the afternoon of Friday 07 April this will be on Big Data Management & Analytics. In this afternoon edition, there is also the chance to network after over a drink and a snack.

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15:30-15:35 Welcome & Opening: Stefan Manegold, Scientific Staff Member, Professor, Database Architectures at CWI

15:35-16:05: Ram Sriharsha, Product Manager, Apache Spark at Databricks on “Making Big Data Analytics Easy and Fast”

16:05-16:35: Frank Smit, Chief Innovtion Officer at OBI4wan on “When a single graph isn’t enough. Graph Analytics at OBI4wan and OBILytics.”

16:35-17:05: Daniel Gebler, CTO at Picnic & Dimitar Nedev, Data Infrastructure Lead at Picnic on “In-app analytics with Snowplow in an online supermarket”

17:05-18:00 Networking, Drinks & Snacks

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Amsterdam Data Science accelerates data science research by connecting, sharing and showcasing world-class technology, expertise and talent from Amsterdam on a regional, national and international level. Our research enables business and society to better gather, store, analyse and present data in order to gain valuable insights and make informed decisions.

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ADS is an initiative of:

  • Faculty of Digital Media and Creative Industries, Amsterdam University of Applied Sciences (AUAS)
  • Centrum Wiskunde & Informatica (CWI)
  • Informatics Institute, University of Amsterdam (UvA)
  • Amsterdam Business School, Amsterdam School of Economics, Economics and Business, UvA
  • Department of Computer Science, Vrije Universiteit Amsterdam (VU)
  • Department of Mathematics, Faculty of Economics, Amsterdam Center for Business Analytics (ACBA), VU