Вернуться к DataOps Methodology
Отзывы учащихся о курсе DataOps Methodology от партнера IBM Skills Network
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
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1–11 из 11 отзывов о курсе DataOps Methodology
автор: Bruno M d O J
•9 мар. 2022 г.
автор: Gustavo M
•17 мар. 2022 г.
автор: Guy P
•17 мар. 2022 г.
автор: Paul R
•16 янв. 2022 г.
автор: Dean T
•22 окт. 2021 г.
автор: Laura H
•1 авг. 2022 г.
автор: Bevlin R
•13 июня 2022 г.
автор: Luis F A L
•20 июня 2022 г.
автор: Boris G
•6 мая 2022 г.
автор: Carlos M A
•28 сент. 2022 г.
автор: Hamdan S A
•14 апр. 2022 г.
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