Overview

Key Features

The two key components of any data pipeline are data lakes and warehouses. 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 Build Data Lakes and Data Warehouses on Google Cloud course offered by Coursera in partnership with Google Cloud 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.

What you'll learn

Differentiate between data lakes and data warehouses.
Explore use-cases for each type of storage and the available data lake and warehouse solutions on Google Cloud.
Discuss 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.

Programme Structure

Courses include:

The Classics: Data Lakes And Data Warehouses
The Modern Approach: Data Lakehouse
Choosing The Right Architecture
Apache Iceberg Open Table Format
Combining Operational And Analytical Data With Federated Queries
Modernizing Data Warehouses With Bigquery And Biglake

Key information

Duration

Part-time
- 7 days
- 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Self-paced

Campus Location

Mountain View, United States

Disciplines

Computer Sciences Data Science & Big Data Machine Learning View 416 other Short Courses in Computer Sciences in United States

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Intermediate Level
This course is aimed at learners and aspiring data engineers who want to understand the fundamentals of data pipelines, including data lakes and data warehouses, and how to implement them on Google Cloud.

Tuition Fees

Additional Details

Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription

Funding

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Build Data Lakes and Data Warehouses on Google Cloud Coursera

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