Chevron Left
Retour à DataOps Methodology

Avis et commentaires pour d'étudiants pour DataOps Methodology par IBM

4.7
étoiles
20 évaluations
7 avis

À propos du cours

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....

Meilleurs avis

Filtrer par :

1 - 7 sur 7 Avis pour DataOps Methodology

par Guy P

17 mars 2022

V​ery 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

par Paul R

16 janv. 2022

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

par Dean T

22 oct. 2021

Really enjoyed this, explains all the proccesses really well

par Bruno M d O J

9 mars 2022

Excel

par Gustavo M

17 mars 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.

par Boris G

6 mai 2022

Great introduction to DataOps

par Hamdan S A

14 avr. 2022

good