Session Outline

In this session, we will discuss the need for data lakes, what does it take to build and scale a data lake with 100’s of petabytes data at Uber. We will understand the challenges in managing such a massive scale and also discuss solutions. Finally, we will discuss some techniques to optimize your data lakes to reduce costs.

Key Takeaways

  • What are the requirements from a data lake
  • How to decide what data lake technologies to use
  • What are the pitfalls associated with massive scale data lakes
  • Operational challenges when managing large scale data lakes

Speaker Bio

Henrik Göthberg – Founder | Dairdux
Henrik is a founder of Dairdux, a professional crowdsourcing alliance of corporates, experts and academic researchers that helps organisations with Data and AI readiness. Prior to founding Dairdux, Henrik has been working for 7 years at Vattenfall in different management positions such as Group Data & Analytics Transformation Lead, Head of Group Financial Systems and Head of BI and Lead Development Management – Europe. Henrik has an international consulting background based out of Stockholm and Sydney. He is part of the Digitization Advisory Board, for European Utility Week, and resident chairman of the Data Innovation Summit. In his spare time Henrik is running a VLOG “From Data to Value” on YouTube to grow Data/AI literacy among Executives and Middle managers.

October 14 @ 08:30
08:30 — 08:50 (20′)

Day 1 | P1 | Keynotes Opening And Closing Stage

Henrik Göthberg – Founder | Dairdux