BigQuery for Data Warehousing
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This lab focuses on how to create new reporting tables using SQL JOINS and UNIONs.
This lab focuses on how to query partitioned datasets and how to create your own dataset partitions to improve query performance, which reduces cost.
This lab focuses on how to reverse-engineer the relationships between data tables and the pitfalls to avoid when joining them together.
In this lab you will work with semi-structured data (ingesting JSON, Array data types) inside of BigQuery. You will practice loading, querying, troubleshooting, and unnesting various semi-structured datasets.
In this lab you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.