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Modernizing Data Lakes and Data Warehouses with Google Cloud

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Course Features

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Duration

7 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

7 hours

Course Description

Data lakes and warehouses are the two core components of any data pipeline. This course outlines the use cases for each storage type and dives into technical details about the Google Cloud data lake and warehouse options. This course also explains the role of the data engineer and the benefits of a well-designed data pipeline for business operations. It also examines the reasons why cloud environments are a good place to do data engineering.

This is the first course in the Data Engineering on Google Cloud series. This course will prepare you for the Building Batch Data Pipelines course on Google Cloud.

Course Overview

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Understand the differences between data lakes and data warehouses, the two key components of any data pipeline

Explore use-cases for each type of storage and dive into the available data lake and warehouse solutions on Google Cloud in technical detail

Understand the role of a data engineer and the benefits of a successful data pipeline to business operations

Examine why data engineering should be done in a cloud environment

Course Instructors

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Google Cloud Training

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Other

Course Accreditations

Course Reviews

Average Rating Based on 8 reviews

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