Build and Optimize Data Warehouses with BigQuery
A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.
For practice with BigQuery fundamentals (including working with the console and command line), complete the quest titled BigQuery Basics for Data Analysts.
Complete this activity and earn a badge! Boost your cloud career by showing the world the skills you’ve developed.
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 Optimize Data Warehouses with BigQuery: Challenge Lab
This challenge labs tests your skills in building and optimizing your data warehouse using BigQuery.