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.
About this Course
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.
- 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
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.
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.
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.
Really well put together with interesting content and good examples. The labs allow really good practice and help to build confidence.
Frequently Asked Questions
Can I preview a course before enrolling?
What will I get when I enroll?
When will I receive my Course Certificate?
Why can’t I audit this course?
More questions? Visit the Learner Help Center.