DataOps Methodology by IBM

"A collaborative data management practice focused on increasing the communication, integration, and automation of data flows between data managers and consumers across an organization," according to Gartner. DataOps, like DevOps, is a principles-based methodology that influences how data is given and updated to satisfy the needs of an organization's data consumers."

The DataOps Methodology is intended to allow an organization to construct and deploy analytics and data pipelines using a repeatable procedure. They can supply high-quality enterprise data to enable AI by adopting data governance and model management procedures. An organization that successfully implements this methodology will be able to know, trust, and use data to drive value.

You'll discover best practices for establishing a repeatable and business-oriented framework to deliver trusted data in the DataOps Methodology course. This course is part of the Data Engineering Specialization, which teaches the fundamental skills needed to work as a Data Engineer.

This course offers:

• Flexible deadlines: Reset deadlines in accordance to your schedule.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Beginner Level
  
• Approx. 10 hours to complete
  
• Subtitles: English

Coursera Rating: 4.7/5.0
Enroll here: https://www.coursera.org/learn/ibm-data-ops-methodology