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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来自MODERNIZING DATA LAKES AND DATA WAREHOUSES WITH GOOGLE CLOUD的热门评论
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
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.
Very valuable information about data lakes, data warehouses, using Arrays and Structs to store data in BigQuery. Loved the course.
bit simple for experienced db users, but the 2nd week does a very useful deep dive into advanced GBQ features like how to properly handle nested fields.