How it works
DataOps seeks to reduce the end-to-end cycle time of data analytics, from the origin of ideas to the literal creation of charts, graphs and models that create value.
It is inspired on DevOps and concepts like continuous integration, delivery, and operations are now being applied to the process of productionizing data (engineer, science, etc)
Blueprint
DataOps Blueprint
If you would like to know more about DataOps please download our blueprint.
Our strategy on Data Ops relies on five principles:
Minimal Disruption
Minimize disruption to data producers in how they deliver their data
Configuration
Focus on 80% of use cases that ca be satisfied with configurable components
Tool Decoupling
Today’s tool may not be the right tool tomorrow
Data Residency
Users should access the data where it leaves
Right Tool for The Right Job
Process drive tooling; not the other way around
Technology Partners
