Chevron Left
返回到 DataOps Methodology

学生对 IBM 技能网络 提供的 DataOps Methodology 的评价和反馈

34 个评分


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....



Oct 21, 2021

Really enjoyed this, explains all the proccesses really well


Jul 31, 2022

Great over view and good breakdown of the concepts


1 - DataOps Methodology 的 11 个评论(共 11 个)

创建者 Bruno M d O J

Mar 9, 2022

创建者 Gustavo M

Mar 17, 2022

创建者 Guy P

Mar 17, 2022

创建者 Paul R

Jan 16, 2022

创建者 Dean T

Oct 22, 2021

创建者 Laura H

Aug 1, 2022

创建者 Bevlin R

Jun 13, 2022

创建者 Luis F A L

Jun 20, 2022

创建者 Boris G

May 6, 2022

创建者 Carlos M A

Sep 28, 2022

创建者 Hamdan S A

Apr 14, 2022