Quest - 8 : BigQuery for Data Warehousing

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.

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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	#