© Harvinder Atwal 2020
H. AtwalPractical DataOpshttps://doi.org/10.1007/978-1-4842-5104-1_8

8. Organizing for DataOps

Harvinder Atwal1 
Isleworth, UK

Organizational structure has an enormous impact not only on output velocity but also on what teams produce and the quality of such. As anyone who has worked within a rigid hierarchical structure knows, the organizational chart often has more influence on what is or is not produced than any technology decision.

For example, with a traditional layered architecture, the simple addition of a new data source to a report requires coordination from every separate functional team responsible for a layer. Cutting vertically across layers requires source system owners, ETL developers, database architects, database ...

Get Practical DataOps: Delivering Agile Data Science at Scale now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.