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.”
The DataOps Methodology is designed to enable an organization to utilize a repeatable process to build and deploy analytics and data pipelines. By following data governance and model management practices they can deliver high-quality enterprise data to enable AI. Successful implementation of this methodology allows an organization to know, trust and use data to drive value.
In the DataOps Methodology course you will learn about best practices for defining a repeatable and business-oriented framework to provide delivery of trusted data. This course is part of the Data Engineering Specialization which provides learners with the foundational skills required to be a Data Engineer.
Status: Metadata Management
Metadata Management
Status: Taxonomy
Taxonomy
Beginner·Course·10 hours
Featured reviews
5.0
·Reviewed Jul 31, 2022
Great over view and good breakdown of the concepts
5.0
·Reviewed Oct 21, 2021
Really enjoyed this, explains all the proccesses really well
5.0
·Reviewed Nov 21, 2024
Absolutely amazing content! structural and give you an overall view of data management
4.0
·Reviewed Sep 27, 2022
The content was very complete. The only opportunity of improvement is the narration of the lectures. The lack of changes in the voice tone can make the audio lectures very repetitive and plain.
5.0
·Reviewed Jul 26, 2024
Very clearly explained the DataOps concepts. Thank you very much.
All reviews
Showing: 19 of 19
All Learners
All Stars
Most Helpful
G
Gustavo
4.0
·Reviewed Mar 17, 2022
This is a great foundation course. I just wished that it had hands-on labs and exercises to cement the knowledge. I am dissapointed, as this class for its simplicity should have been a Coursera Plus course, considering the size of the content. Either way, it has good material.
G
Guy
5.0
·Reviewed Mar 17, 2022
Very well constructed, with right level of mix between high level view and details. It provides a very complete overview and refresh of what is Data Ops. Congratulations to the team. I will recommend the course
B
Bruno
5.0
·Reviewed Mar 9, 2022
Excel
P
Paul
5.0
·Reviewed Jan 16, 2022
very structured and professional coverage of DataOps ; very valuable, thank you
D
Dean
5.0
·Reviewed Oct 22, 2021
Really enjoyed this, explains all the proccesses really well
C
Carlos
4.0
·Reviewed Sep 28, 2022
The content was very complete. The only opportunity of improvement is the narration of the lectures. The lack of changes in the voice tone can make the audio lectures very repetitive and plain.
S
Seyrunnak
5.0
·Reviewed Nov 22, 2024
Absolutely amazing content! structural and give you an overall view of data management
B
Brijesh
5.0
·Reviewed Jul 27, 2024
Very clearly explained the DataOps concepts. Thank you very much.
L
Laura
5.0
·Reviewed Aug 1, 2022
Great over view and good breakdown of the concepts
Y
Yanira
5.0
·Reviewed Jul 7, 2025
which to have a pdf with all the transcript
D
Diego
5.0
·Reviewed Sep 30, 2024
Great theoretical and introductory course
L
Luri
5.0
·Reviewed Mar 14, 2025
achei um pouco repetitivo, mas muito bom
B
Bevlin
5.0
·Reviewed Jun 13, 2022
Thank you. Wonderfully presented.
L
Luis
5.0
·Reviewed Jun 20, 2022
Excelent !! crearly and usefull
B
Boris
5.0
·Reviewed May 6, 2022
Great introduction to DataOps
F
Federico
5.0
·Reviewed Jan 31, 2025
fine, smooth
M
Michael
4.0
·Reviewed Jul 2, 2023
The course content was useful and I definitely feel that I walked away with practical knowledge that I can apply in my job. The presentation is where it falls short; it's simply a series of Powerpoint presentations with a limited number of visuals.
H
Hamdan
4.0
·Reviewed Apr 14, 2022
good
R
Raoul
2.0
·Reviewed Oct 16, 2024
Plenty of practice questions, but the actual content was very shallow. The course is basically just someone reading out some lists.