BigQuery SQL is relatively simple, but it also supports a range of advanced query techniques like JOIN, UNION, using Subqueries, performing calculations, aggregating and so much more.Knowing the complex techniques, you enable data analysis and manipulation capabilities within Google's cloud-based big data analytics platform.

In BigQuery, the SELECT and FROM statements are fundamental for retrieving data from specified tables within your datasets. By using SELECT, you can specify the exact columns you want to pull, while FROM indicates the table from which this data should be extracted. SELECT column1, column2, ... FROM table_name;

By following this guide, data professionals will acquire a robust understanding of BigQuery SQL, equipped with the knowledge to implement efficient, effective, and optimized queries and data solutions in their organizations. This guide serves as an educational resource and a practical handbook for daily reference in professional settings.

BigQuery is powerful, but cost and performance optimization rely heavily on understanding how your queries work. These commands will give you visibility into your datasets, queries, and overall usage—helping you become a more efficient Data Engineer.