This lesson builds on core SQL knowledge and focuses on combining data from multiple tables, performing advanced analytical calculations, and optimizing query performance.You will explore advanced JOINs and...

This lesson builds on core SQL knowledge and focuses on combining data from multiple tables, performing advanced analytical calculations, and optimizing query performance.
You will explore advanced JOINs and UNIONs, analytic (window) functions, querying nested and repeated data in BigQuery, and writing efficient queries that reduce data usage and improve speed.
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How to combine data using advanced JOIN and UNION techniques
How to use analytic and window functions for complex calculations
How to query nested and repeated data structures in BigQuery
How to write efficient SQL queries that run faster
How to reduce processed data and optimize performance
Best practices for working with large datasets
Basic SQL knowledge
Experience with:
SELECT, WHERE, GROUP BY
Basic JOIN operations
Familiarity with relational databases
Basic understanding of SQL query structure
(Optional) Prior exposure to BigQuery is helpful but not required
SQL users ready to move beyond basic queries
Data analysts working with large or complex datasets
Developers using SQL in real-world applications
BigQuery users who want to query nested data efficiently
Anyone looking to improve SQL performance and query quality