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.
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- 5 stars72,66 %
- 4 stars22,97 %
- 3 stars3,30 %
- 2 stars0,73 %
- 1 star0,31 %
Principales reseñas sobre MODERNIZING DATA LAKES AND DATA WAREHOUSES WITH GOOGLE CLOUD
We can see how fast, useful and pragmatic are moder data lakes and dataware houses. And of course some hands on experience to have fun.
Great course providing the fundamental concepts around Data Lakes, Data Warehouses, Schemas, ETL/ELT/EL, and specific Google GCP Technologies that help implement these concepts
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.
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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