CONTENT

Here is the schedule of the activities [Schedule]
  1. Introduction and background knowledge [PDF]
  • Big data beyond the mirror: volume, velocity, variety, veracity, value …
  • Do we need intelligence to deal with data?
  • Unlimited computing resources and data: the story of David and Goliath
  • Data science: transforming big into smart
  1. Big data analytics environments
  • New data analytics stacks [PDF]
  • Data as service tools: distributed storage, data access API, complex data processing, querying sausages [hands on discussion PDF]
  • High performance execution environments: data flow oriented vs control flow oriented [spark PDF] [graphX PDF]
  • Data management at scale: all you need for cooking data [PDF]
  1. Big Data Analytics: playing with data
  • Machine learning and databases [PDF]
  • Exploring data collections
  • Visualising data collections [PDF, Dataviz@Twitter]
    • Which metaphor for which perspective?
    • Architectures for Visualising Big Data