Meetup Link: http://www.meetup.com/big-o-london/events/159391432/
Podcast Links:
- http://skillsmatter.com/podcast/home/kinesis-or-storm
- http://skillsmatter.com/podcast/home/free-lunches-silver-bullets-and-np-complete-problems
Code links:
Blurb:
- Probabilistic Counting on ClickStream data using Amazon Kinesis or Storm - Michael Vogiatzis
The probabilistic (approximate) counting algorithm allows the counting of a large number of events using a small amount of memory. Michael will demonstrate how we can efficiently scale this algorithm in a cluster of machines in order to analyze web activity. For this purpose, a real-time streaming framework will be used and explained - either Amazon Kinesis or Storm.
Bio: Michael Vogiatzis is a Software Engineer based in London. He holds an MSc in Informatics from the University of Edinburgh and he is passionate about large scale processing and real-time streaming. He believes in the power of open-source and he recently started blogging at www.micvog.com.
- Free lunches, Silver Bullets and NP-Complete problems - Daniel Hulme
Bio: Daniel is the Founder and CEO of Satalia (NPComplete Ltd), a company that provides Optimisation-as-a-Service, which is a unique algorithmic technology (the SolveEngine) and professional services to solve industries optimisation problems. He is passionate about emerging technology and regularly speaks at events with interests in Algorithms, Optimisation, BigData and the Future Internet.
Daniel has Research Associate and teaching positions in Information Security and Technology Entrepreneurship at UCL, where he is also one of the founding members of the IMPACT team tasked with pioneering UCL's impact initiatives.Daniel is an advisor to cross-Atlantic start-ups in the area of Data Analytics and BigData, and is involved with several global organisations in their Open-Innovation initiatives.