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DataTalk #42 What is DataOps? Becoming a truly data-driven organisation

DataTalk #42 What is DataOps? Becoming a truly data-driven organisation

En 2017, Gartner annonçait que 85% des projets (big) data échouaient à se déployer en production. En 2019, ils confirment la tendance en annonçant que seulement 20% des observations analytiques de pointes aboutiront à un résultat commercial. La faute à une absence, dans le cycle de travail en Data Science, de cadres organisationnel et technologique cruciaux aux nouvelles exigences en termes de réduction du “time to market”.
Durant cette présentation, je souhaite vous présenter la discipline qui vous aidera à rassembler vos donnée, votre équipe, vos outils et vos process afin de devenir une véritable organisation data-driven et ainsi faire mentir les chiffres de Gartner. Cette discipline est la DataOps.

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Toulouse Data Science

February 25, 2020
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  1. What is DataOps? Samia Drappeau Becoming a truly data-driven organisation

    Toulouse 2020
  2. About me 2 • Astrophysicist for 8 years • Data

    Scientist at Continental for 2 years • Now Fullstack Data Consultant and DataOps enthusiast — • Toulouse Data Science meetup host • OpenClassroom mentor
  3. Data (Integrity|Quality|Reliability) 3

  4. What is DataOps? 4 DataOps is an automated, process-oriented methodology,

    used by analytics and data teams, to improve the quality and reduce the cycle time of data analytics.” ~ DataOps Manifesto
  5. What is DataOps? 4 DataOps is an automated, process-oriented methodology,

    used by analytics and data teams, to improve the quality and reduce the cycle time of data analytics.” ~ DataOps Manifesto
  6. What is DataOps? 5 Culture Process Tools

  7. Data-Driven Company Culture 6 What is DataOps? Culture Forbes Article:

    The four key pillars to fostering a data-driven culture
  8. 7 What is DataOps? Processes Process

  9. Tools 8 What is DataOps? Tools

  10. How to implement DataOps? 10 The Seven Steps of DataOps

  11. How to implement DataOps? 10 The Seven Steps of DataOps

  12. How to implement DataOps? 10 The Seven Steps of DataOps

  13. How to implement DataOps? 10 The Seven Steps of DataOps

  14. How to implement DataOps? 10 The Seven Steps of DataOps

  15. How to implement DataOps? 10 The Seven Steps of DataOps

  16. How to implement DataOps? 10 The Seven Steps of DataOps

  17. How to implement DataOps? 10 The Seven Steps of DataOps

  18. How to implement DataOps? 10 The Seven Steps of DataOps

  19. How to implement DataOps? 10 The Seven Steps of DataOps

  20. 11 How to implement DataOps? Technology Ecosystem

  21. Last words 12 DataOps can help you bring together your

    data, your team, your tools, and your processes to become a truly data-driven organisation.
  22. ANNEXES

  23. Gartner Hype Cycle for Data Management, 2018 14

  24. Adding the Ops in Data

  25. Sources 16 ▸ https://www.valdas.blog/2019/04/17/data-ops/ ▸ https://www.forbes.com/sites/brentdykes/2019/03/28/the-four-key-pillars-to- fostering-a-data-driven-culture/#61aea7a57d90 ▸ https://medium.com/data-ops/dataops-is-not-just-devops-for-data-6e03083157b7 ▸

    https://www.experis-it.fr/dataops-vers-une-entreprise-data-driven/ ▸ https://www.datakitchen.io/blog/dataops/2019/07/03/DataOps-Data- Architecture.html ▸ https://www.gartner.com/en/newsroom/press-releases/2018-09-11-gartner-hype- cycle-for-data-management-positions-three-technologies-in-the-innovation-trigger- phase-in-2018 ▸ https://www.dataops.dev/