- Sprint Planning
- Data Pipelines
- Data Integration
- Data Transformation
- Data Governance
- Data-Driven Decision-Making
- Data Modeling
- Data Strategy
- Data Management
- Data Literacy
- Process Improvement
- Sprint Retrospectives
DataOps Methodology
Completed by Carlos Arotine
November 7, 2024
10 hours (approximately)
Carlos Arotine'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
