BigQuery for Data Warehousing

Looking to build or optimize your data warehouse? 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. BigQuery allows you to focus on analyzing data to find meaningful insights. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.

• BigQuery for Data Warehousing
• BigQuery: Qwik Start - Command Line
• Creating a Data Warehouse Through Joins and Unions
• Creating Date-Partitioned Tables in BigQuery
• Troubleshooting and Solving Data Join Pitfalls
• Working with JSON, Arrays, and Structs in BigQuery
• Build and Execute MySQL and PostgreSQL to Data Catalog Connectors
• Your Next Steps
• Course Badge