LOCATIONS: STOCKHOLM | BANGALORE | MILAN

Session Outline

To be successful in big data project is difficult. By the nature of fast development of libraries, methodologies, the right choices often hindered by opinions. In this talk Rockie Yang will share how to avoid 7 common traps based on his experience from various projects.

Key Takeaways

  • Through 7 common design traps in big data project
  • Bring up awareness of separation of facts and opinions
  • Minimize avoid fall in potential design traps
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Speaker Bio

Rockie Yang – Founder | Knock Data
Rockie Yang is a passionate engineer always aiming for smoother end to end experience for users. He has been working on diverse verticals for the past 20 years and has been successfully delivered dozen big data and machine learning projects in past 7 years. He is always open for seeking more suitable programming languages and frameworks to solve different problems.

October 15 @ 14:00
14:00 — 14:20 (20′)

Day 2 | M3 | Data Engineering Stage

Rockie Yang – Founder | Knock Data