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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Intermediate Level
Approx. 7 hours to complete
English
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Try Coursera for BusinessWhat 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
Could your company benefit from training employees on in-demand skills?
Try Coursera for Business
Offered by
Syllabus - What you will learn from this course
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)
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
- 5 stars72.72%
- 4 stars22.87%
- 3 stars3.30%
- 2 stars0.75%
- 1 star0.33%
TOP REVIEWS FROM MODERNIZING DATA LAKES AND DATA WAREHOUSES WITH GOOGLE CLOUD
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 TGFeb 4, 2020
Course material spends a little too much time promoting the benefits of GCP when it could be focusing on the technical aspects of using GCP
by AWApr 15, 2020
Good course but perhaps to make things stick, we would have used one project and built upon it. I felt like I was being tossed all over the place in terms of subjects and topics.
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