Modernizing Data Lakes and Data Warehouses with Google Cloud
Modernizing Data Lakes and Data Warehouses with Google Cloud
Duration: 2h 58m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 467 MB
Genre: eLearning | Language: English
Duration: 2h 58m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 467 MB
Genre: eLearning | Language: English
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 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.
This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course.
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 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.
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