DataOps as a New Weapon for Data-Driven Companies
summary
The talk explains DataOps as a counterpart to DevOps to coordinate data engineers, data scientists and IT operations in data-driven companies. It discusses the need for processes and practices that improve collaboration across data acquisition strategy, analytics platform operation and production data workflows, drawing on the speaker’s experience running analytics technology practice in Latin America.
AI-written summary · about
chapters (11)
- 0:00Introduction
- 1:34What do we want?
- 7:50And when we grow?
- 10:16And does it ever stop?
- 14:28Let's not forget...
- 17:23Big Data Science Cycle
- 22:06Does this deliver value?
- 23:54Fast cycles everywhere...
- 26:00Seven steps in DataOps
- 32:07DataOps Manifesto
- 33:23Two lines of solution...
related talks
37mWhat is DataOps? Becoming a Truly Data-Driven Organization
30mDataOps: Much More Than DevOps for Data
33mAdopt Dataops Practices and Build a Datafabric
20mDevDataOps - Using data for exponential growth of your organization
30mDevOps to DataOps
51mFrom DevOps for data to DataOps
30mDevOps For Data Teams
30mDevOps is to Infrastructure as Code, as DataOps is to...?
