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.

Transcript

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/