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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Intermediate Level
Approx. 7 hours to complete
English
Subtitles: English
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Try Coursera for BusinessWhat 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
Could your company benefit from training employees on in-demand skills?
Try Coursera for Business
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)
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
14 videos (Total 41 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 91 min)
2 minutes to complete
Summary
A summary of the key learning points
2 minutes to complete
1 video (Total 2 min)
Reviews
- 5 stars72.78%
- 4 stars22.88%
- 3 stars3.29%
- 2 stars0.72%
- 1 star0.30%
TOP REVIEWS FROM MODERNIZING DATA LAKES AND DATA WAREHOUSES WITH GOOGLE CLOUD
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 SBFeb 15, 2020
Very valuable information about data lakes, data warehouses, using Arrays and Structs to store data in BigQuery. Loved the course.
by TBAug 11, 2020
In depth course explaining how to build scalable & state of the art data lakes & data warehouse on GCS, CloudSQL, Bigquery. Ways to optimize bigquery & improve the schema
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