About this Course

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Intermediate Level
Approx. 7 hours to complete
English

What you will 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.

Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 7 hours to complete
English

Instructor

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

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Week
1
Week 1
4 minutes to complete

Introduction

4 minutes to complete
2 videos (Total 4 min)
2 hours to complete

Introduction to Data Engineering

2 hours to complete
14 videos (Total 41 min)
2 hours to complete

Building a Data Lake

2 hours to complete
8 videos (Total 42 min)
Week
2
Week 2
4 hours to complete

Building a data warehouse

4 hours to complete
16 videos (Total 91 min)
2 minutes to complete

Summary

2 minutes to complete
1 video (Total 2 min)

Reviews

TOP REVIEWS FROM MODERNIZING DATA LAKES AND DATA WAREHOUSES WITH GOOGLE CLOUD

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