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.
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. 7 hours to complete
English
Subtitles: English
What you will learn
Understand the differences between data lakes and data warehouses, the two key components of any data pipeline.
Explore use-cases for each type of storage and dive into the available data lake and warehouse solutions on Google Cloud in technical detail.
Understand 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
Subtitles: English
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
4 minutes to complete
Introduction
This module introduces the Data Engineering on Google Cloud source series and this Modernizing Data Lakes and Data Warehouses with Google Cloud course.
4 minutes to complete
2 videos (Total 4 min)
1 hour 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
1 hour to complete
14 videos (Total 40 min)
2 hours to complete
Building a Data Lake
In this module, we describe what data lake is and how to use Cloud Storage as your data lake on Google Cloud.
2 hours to complete
8 videos (Total 42 min)
4 hours to complete
Building a data warehouse
In this module, we talk about BigQuery as a data warehousing option on Google Cloud
4 hours to complete
16 videos (Total 92 min)
2 minutes to complete
Summary
A summary of the key learning points
2 minutes to complete
1 video (Total 2 min)
Reviews
- 5 stars72.51%
- 4 stars23.14%
- 3 stars3.30%
- 2 stars0.74%
- 1 star0.27%
TOP REVIEWS FROM MODERNIZING DATA LAKES AND DATA WAREHOUSES WITH GOOGLE CLOUD
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.
by TPJan 29, 2020
The labs were awesome! The trainers in the video and in the demo were well prepared. The quizes however were short and not well thoughtful.
by AAMay 11, 2020
Very detailed explanation on Data Lake and Data Ware house and use cases. Concepts of the Data types such as STRUCT and ARRAYS are explained very well and beneficial in Data modeling.
by JNDec 5, 2020
Really well put together with interesting content and good examples. The labs allow really good practice and help to build confidence.
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