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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來自MODERNIZING DATA LAKES AND DATA WAREHOUSES WITH GOOGLE CLOUD的熱門評論
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!!! Key to understand how to take advantage of the resources offered by the Google cloud to a modern way to build and process your data.
Very valuable information about data lakes, data warehouses, using Arrays and Structs to store data in BigQuery. Loved the course.
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