Avoid 7 Traps in Big Data Projects by Separating Facts and Opinions

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.

• 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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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.