BigQuery for Data Warehousing
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BigQuery: Qwik Start - Command Line
This hands-on lab shows you how to query public tables and load sample data into BigQuery using the Command Line Interface. Watch the short videos Get Meaningful Insights with Google BigQuery and BigQuery: Qwik Start - Qwiklabs Preview.
Creating a Data Warehouse Through Joins and Unions
This lab focuses on how to create new reporting tables using SQL JOINS and UNIONs.
Creating Date-Partitioned Tables in BigQuery
This lab focuses on how to query partitioned datasets and how to create your own dataset partitions to improve query performance, which reduces cost.
Troubleshooting and Solving Data Join Pitfalls
This lab focuses on how to reverse-engineer the relationships between data tables and the pitfalls to avoid when joining them together.
Working with JSON, Arrays, and Structs in BigQuery
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.
Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors
In this lab you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.