- Data Integration
- Business Priorities
- Data Governance
- Sprint Planning
- Metadata Management
- Data Quality
- Data Pipelines
- Taxonomy
- Sprint Retrospectives
- Data Management
- Data Modeling
- Data Literacy
DataOps Methodology
Completed by Iaroslav Petrukhno
July 7, 2023
10 hours (approximately)
Iaroslav Petrukhno's account is verified. Coursera certifies their successful completion of DataOps Methodology
What you will learn
Understand the process to establish a repeatable process that delivers rigor and repeatability
Articulate the business value of any data sprint by capturing the KPI's the sprint will deliver
Understand how to enable the organization's business, development and operations to continuously design, deliver and validate new data demands
Skills you will gain
