Build and Optimize Data Warehouses with BigQuery
Fundamental 7 Steps 7 hours 34 Credits
Earn a skill badge by completing the Build and Optimize Data Warehouses with BigQuery quest, where you will learn how to transform your data warehouse using BigQuery, including how to: 1. Use a command line interface to query and load sample data. 2. Create new reporting tables using SQL, JOINS, and UNIONs. 3. Create dataset partitions that will reduce cost and improve query performance. 4. Create and troubleshoot joins. 5. Load, query, and un-nest semi-structured datasets. 6. Use Data Catalog.
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.
Prerequisites:Prior to enrolling in this skill badge quest, it is recommended that you have a basic knowledge of SQL.
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.