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What you'll learn

Discuss the more advanced functions of SQL on BigQuery.

Compare how BigQuery was developed to address scaling limitations in the context of how traditional databases have evolved to handle dataset scale.

Identify the fundamental pieces of work that impact BigQuery performance and how to optimize your queries for speed.

Identify what Google Cloud and BigQuery tools are available to you to permission-control and share your data.

Skills you'll gain

Performance Tuning

Data Warehousing

SQL

Data Science

Jupyter

Data Security

Data Access

Big Data

Database Architecture and Administration

Data Structures

Google Cloud Platform

There are 7 modules in this course

We will cover the internal architecture of BigQuery (column-based sharded storage) and advanced SQL topics like nested and repeated fields through the use of Arrays and Structs. Lastly we will dive into optimizing your queries for performance and how you can secure your data through authorized views. After completing this course, enroll in the Applying Machine Learning to your Data with Google Cloud course.

Advanced Functions and Clauses

Schema Design and Nested Data Structures

Optimizing for Performance

Advanced Insights with Vertex AI Workbench

Data Access

Summary