Data As Reliable As Running Water: Analytics And Machine Learning (Uber) Data Platforms 2018

Embark on a transformative journey into the heart of Uber’s data-driven revolution with Qubole. Unveil the blueprint of Uber’s data platform evolution, harnessing the immense power of data to navigate the complexities of urban mobility and beyond. Discover how Qubole has been instrumental in scaling Uber’s data capabilities, making transportation as seamless as running water for millions worldwide.

What You’ll Learn:

  1. The Essence of Data at Uber:
    • Understand how data underpins every facet of Uber’s operations, driving decisions and optimizing services across the globe.
  2. Innovative Analytics Stack:
    • Explore the robust analytics framework that fuels Uber’s dynamic ecosystem, from real-time streaming analytics to petabyte-scale data lakes.
  3. The Pioneering Role of Machine Learning:
    • Delve into how machine learning is intricately woven into Uber’s DNA, enhancing everything from route optimization to ETA predictions.
  4. Data Science Workbench:
    •  Discover the Data Science Workbench, a revolutionary tool enabling data scientists to unleash their potential, fostering an environment of collaboration and innovation.
  5. Michelangelo – Mastering Machine Learning at Scale:
    • Uncover Michelangelo, Uber’s comprehensive machine learning platform, streamlining the transition from model exploration to production excellence.
  6. Facing Tomorrow’s Data Challenges:
    • Anticipate the future of Uber’s data journey, addressing challenges from data trust and security to advancing geospatial analytics and machine learning deployment.

Please fill in the form to watch the webinar

Note: By filling and submitting this form you understand and agree that the use of Qubole’s website is subject to the General Website Terms of Use. Additional details regarding Qubole’s collection and use of your personal information, including information about access, retention, rectification, deletion, security, cross-border transfers and other topics, is available in the Privacy Policy. If you have any questions regarding the webform language, please contact [email protected].