Modernizing Data Lakes and Data Warehouses with GCP

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.
Course info
Level
Beginner
Updated
Jan 14, 2020
Duration
3h 35m
Table of contents
Introduction
Introduction to Data Engineering
Building a Data Lake
Building a data warehouse
Summary
Description
Course info
Level
Beginner
Updated
Jan 14, 2020
Duration
3h 35m
Description

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.

About the author
About the author

Build, innovate, and scale with Google Cloud Platform.

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