This material has been designed to be taught in a classroom environment... hands-on 90% talk 10% slides 0%

The material is missing some of the contextual concepts and ideas that will be covered in class.

This is 0.5 + 3 + 0.5 days of material for any intermediate-level dev-ops.

Stream Data Mining workshop

Preliminary agenda Content will be updated throughout the course Participants are incouraged to propose their own topics of interest for discussion

Day 0 :: Intro:: Feb 26 2018, starts at 13:00

• 13:00 - 14:45
  • intro
  • vagrant
  • docker
  • build dev environments
    • with docker
    • with vagrant
• 15:00 - 16:45
  • distance functions

Day 1 :: Data Science :: Feb 27 2018

• 09:00 - 11:45
  • data science basics
• 13:00 - 16:45
  • hands-on: time-series forecasting for anomaly detection

Day 2 :: Text and log mining / probabilistic data structures :: Feb 28 2018

• 09:00 - 11:45
  • text data mining
  • log mining, logcluster
  • SSL certificate stream classification
• 13:00 - 16:45
  • set up go
  • probabilistic data structures
  • ...

Day 3 :: Streaming applications / data day :: Mar 1 2018

• 09:00 - 11:45
  • kafka, producers, consumers
  • ...
• 13:00 - 16:45
  • ...

Day +1 :: Outro :: Mar 2 2018, ends at 12:00

• 09:00 - 09:45
  • recap
  • save and make backups
  • feedback, contact exchange, thanks, etc.

Before You Come To Class please browse trough ...

• Apache Kafka Introduction
• Jupyter

Might be beneficial to look at ...

• Python scikit-learn
• Project R
• JupyterLab
• LogCluster