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.
Modernizing Data Lakes and Data Warehouses with Google Cloud
Modernizing Data Lakes and Data Warehouses with Google Cloud
This course is part of multiple programs.
Instructor: Google Cloud Training
Access provided by Ministry of Public Administration of Slovenia
61,055 already enrolled
Gain insight into a topic and learn the fundamentals.
4.7
(2,890 reviews)
Intermediate level
Some related experience required
Flexible schedule
9 hours to complete
Learn at your own pace
83%
Most learners liked this 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.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
4 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 7 modules in this course
Introduce the learner to the topics that will be covered in the course and the skills they will learn.
What's included
1 plugin
This module introduces the foundational concepts of data lakes and data warehouses, setting the stage for modern architectures on Google Cloud.
What's included
1 assignment4 plugins
This module details the concept of a lakehouse and introduces the Google Cloud products most commonly used to build a modern data lakehouse using open-source formats.
What's included
1 assignment1 app item7 plugins
This module explores BigQuery as the cornerstone of a modern data warehouse and introduces BigLake for unifying access across the data lake and warehouse.
What's included
1 assignment1 app item4 plugins
This module focuses on advanced architectural patterns for the lakehouse, including data processing, orchestration, and comprehensive data governance across BigQuery, Cloud Storage, and BigLake.
What's included
1 assignment5 plugins
This module provides labs to deepen skills in the tools and technologies used by a lakehouse on Google Cloud and an overview of best practices, common mistakes, and future trends
What's included
2 app items2 plugins
Summarize the architectural and operational capabilities of the BigQuery-centric data lakehouse, covering governance, advanced analytics, and machine learning
What's included
1 plugin
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Instructor ratings
4.6 (558 ratings)Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
4.7
2,890 reviews
- 5 stars
73.11%
- 4 stars
22.49%
- 3 stars
3.14%
- 2 stars
0.72%
- 1 star
0.51%
Showing 3 of 2890
NN
5
Reviewed on Jan 3, 2022
Great!!! Key to understand how to take advantage of the resources offered by the Google cloud to a modern way to build and process your data.
SG
5
Reviewed on Jul 19, 2020
This is a great course for people wishing to make a career in Data Engineering on the Google Cloud Platform. Highly recommended! Its simply superb!
LG
5
Reviewed on Apr 25, 2022
This is an excellent course to understand about Data Lakes and Data Warehouses, and how to implement them with GCP. It takes you from zero to a level where you can move confidently in GCP.
Explore more from Information Technology
Board Infinity
Google Cloud
Google Cloud
Whizlabs