Chevron Left
Вернуться к DataOps Methodology

Отзывы учащихся о курсе DataOps Methodology от партнера IBM Skills Network

4.6
звезд
Оценки: 34

О курсе

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....

Лучшие рецензии

DT

21 окт. 2021 г.

Really enjoyed this, explains all the proccesses really well

LH

31 июля 2022 г.

Great over view and good breakdown of the concepts

Фильтр по:

1–11 из 11 отзывов о курсе DataOps Methodology

автор: Bruno M d O J

9 мар. 2022 г.

Excel

автор: Gustavo M

17 мар. 2022 г.

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.

автор: Guy P

17 мар. 2022 г.

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

автор: Paul R

16 янв. 2022 г.

very structured and professional coverage of DataOps ; very valuable, thank you

автор: Dean T

22 окт. 2021 г.

Really enjoyed this, explains all the proccesses really well

автор: Laura H

1 авг. 2022 г.

Great over view and good breakdown of the concepts

автор: Bevlin R

13 июня 2022 г.

Thank you. Wonderfully presented.

автор: Luis F A L

20 июня 2022 г.

Excelent !! crearly and usefull

автор: Boris G

6 мая 2022 г.

Great introduction to DataOps

автор: Carlos M A

28 сент. 2022 г.

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.

автор: Hamdan S A

14 апр. 2022 г.

good