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Setting up a mini big data architecture, just for you!

Locatie Track
Forum Romanum Cloud
Tijd Moeilijkheidsgraad Taal
08:00:00 - 08:50:00 Intermediate English


In this session, we'll start from scratch and build a nice little software stack that you can use to experiment with big data software. At the end, I've shown the steps to take for setting up a virtual server with a NoSQL database, Hadoop, stream processing engine, and visualization tools. After importing the data, we'll have a modest result in the form of a visualization of some 'little' big data. This session will give you an introduction to the world of big data architecture, without getting too complex or fuzzy. There will be some theory, but the focus is on the practical things you need to do to get started. Bring your laptop if you want some hands-on experience right away! Join this session ff you want to understand what's under the hood of Cloudera, Hortonworks, and MapR, and want to play with modern open source software!

Download hier de evaluatie van deze sessie

Bio van Bas Geerdink & Steven Laan

Bas is a programmer, scientist, and IT manager. At ING, he is responsible for the Fast Data chapter within the Analytics department. His academic background is in Artificial Intelligence and Informatics. His research on reference architectures for big data solutions was published at the IEEE conference ICITST 2013. Bas has a background in software development, design and architecture with a broad technical view from C++ to Prolog to Scala and is a Spark Certified Developer. He occasionally teaches programming courses and is a regular speaker on conferences and informal meetings.

At ING, Steven is a Dev engineer and the Product Owner of the Real-time Analytics squad. The primary focus of the team is to build the forecasting engine that drives the "Kijk vooruit" feature in the mobile app. Steven studied Artificial Intelligence with a focus on machine learning and intelligent systems. After graduating with honor (cum laude) he fulfilled several roles in different departments at ING. He got for example his hands dirty in front-end development, continuous delivery pipelines and teaching Scala courses. Currently his main programming languages are Scala for production code and Python for experiments.