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According to QWIKLABS:  Learn best practices to Extract, Transform, and Load your data into Google Cloud with BigQuery. In this series of interactive labs you will create and optimize your own data warehouse using a variety of large-scale BigQuery public datasets. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model.



Lab Name Lab Code Lab Link Youtube Link
BigQuery: Qwik Start - Command Line GSP071 https://google.qwiklabs.com/focuses/577?parent=catalog #
Creating a Data Warehouse Through Joins and Unions GSP413 https://google.qwiklabs.com/focuses/3640?parent=catalog #
Creating Date-Partitioned Tables in BigQuery GSP414 https://google.qwiklabs.com/focuses/3694?parent=catalog #
Troubleshooting and Solving Data Join Pitfalls GSP412 https://google.qwiklabs.com/focuses/3638?parent=catalog #
Working with JSON, Arrays, and Structs in BigQuery GSP416 https://google.qwiklabs.com/focuses/3696?parent=catalog #
Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors GSP814 https://google.qwiklabs.com/focuses/11999?parent=catalog #

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