DataOps Methodology
Completed by Tetsu Motohashi
December 25, 2024
10 hours (approximately)
Tetsu Motohashi'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
- Category: Data Management
- Category: Data Pipelines
- Category: Agile Methodology
- Category: Metadata Management
- Category: Data Governance
- Category: Data Transformation
- Category: Data Integration
- Category: Data Quality
- Category: Data Modeling
