- Business Priorities
- Data Management
- Data Pipelines
- Metadata Management
- Sprint Retrospectives
- Data-Driven Decision-Making
- Process Improvement
- Taxonomy
- Data Literacy
- Data Quality
- Data Modeling
- Sprint Planning
DataOps Methodology
Completed by Alejandra Manrique
May 13, 2022
10 hours (approximately)
Alejandra Manrique'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
