Modernizing Data Lakes and Data Warehouses with GCP

开始时间: 04/22/2022 持续时间: Unknown

所在平台: CourseraArchive

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大学或机构: CourseraNew

课程主页: https://www.coursera.org/archive/data-lakes-data-warehouses-gcp

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The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud Platform in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. Learners will get hands-on experience with data lakes and warehouses on Google Cloud Platform using QwikLabs.

使用GCP对数据湖和数据仓库进行现代化改造:任何数据管道的两个关键组件是数据湖和仓库。本课程重点介绍每种存储类型的用例,并详细介绍Google Cloud Platform上可用的数据湖和仓库解决方案。此外,本课程还介绍了数据工程师的角色,成功的数据管道对业务运营的好处,并探讨了为什么应在云环境中进行数据工程。学习者将使用QwikLabs在Google Cloud Platform上获得有关数据湖和仓库的实践经验。

课程大纲

Building a Data Lake
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