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.
Offered By
Google CloudAbout this Course
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Shareable Certificate
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100% online
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Intermediate Level
Approx. 9 hours to complete
English
Subtitles: English, Spanish
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. 9 hours to complete
English
Subtitles: English, Spanish
Offered by
Google Cloud
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Syllabus - What you will learn from this course
7 minutes to complete
Introduction
This module gives an introduction of the Data Engineering specialization and the course.
7 minutes to complete
2 videos (Total 7 min)
2 hours to complete
Introduction to Data Engineering
This module describes the role of a data engineer and motivates the claim why data engineering should be done in the Cloud
2 hours to complete
13 videos (Total 55 min)
2 hours to complete
Building a Data Lake
In this module, we describe what data lake is and how to use Google Cloud Storage as you data lake on GCP
2 hours to complete
10 videos (Total 58 min)
4 hours to complete
Building a data warehouse
In this module, we talk about BigQuery as a data warehousing option on GCP
4 hours to complete
20 videos (Total 112 min), 1 reading, 3 quizzes
2 minutes to complete
Summary
This module reviews all the topics covered in the course
2 minutes to complete
1 video (Total 2 min)
Reviews
TOP REVIEWS FROM MODERNIZING DATA LAKES AND DATA WAREHOUSES WITH GCP
by AAFeb 14, 2020
Good introduction and overview of the field of data engineering, data lakes and modern data warehouses and a hands-on walkthrough of all the technologies related to solving these problems on GCP.
by FMApr 16, 2020
A better understanding of BigQuery starts here. A vital resource for consultants, data analysts, and product managers, and an important reference source for engineers and data scientists.
by BAFeb 8, 2020
The course offers a nice description of what modern DWH means, which are the differences between classic DWH and cloud DWH. You have the chance to work with the new cloud concept on GCP.
by MEAug 29, 2020
I really like how the Google courses do not overwhelm the learner with too much information. The information was presented well and the labs were very practical with clear instructions.
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