DataOps is defined by Gartner as "a collaborative data management practice focused on improving the communication, integration and automation of data flows between data managers and consumers across an organization. Much like DevOps, DataOps is not a rigid dogma, but a principles-based practice influencing how data can be provided and updated to meet the need of the organization’s data consumers.”
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DataOps Methodology
IBM Skills NetworkAbout this Course
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Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat 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
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Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Establish DataOps - Prepare for operation
Establish DataOps – Optimize for operation
Iterate DataOps - Know your data
Iterate DataOps – Trust your data
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- 5 stars67.64%
- 4 stars29.41%
- 3 stars2.94%
TOP REVIEWS FROM DATAOPS METHODOLOGY
Great over view and good breakdown of the concepts
Really enjoyed this, explains all the proccesses really well
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