Advanced Concepts In Big Query

Diving into advanced query techniques in Google BigQuery unlocks a deeper level of data analysis, enabling more complex, efficient, and powerful insights. This exploration covers Common Table Expressions (CTEs), window functions, array and struct data types, and the use of BigQuery’s machine learning capabilities within SQL queries. Mastering these techniques will significantly enhance your ability to handle sophisticated data analysis tasks within BigQuery.

In this series of article we are focusing on below topics:

1. Big query : An introduction
2. BigQuery’s Architecture and Working Mechanism
3. Getting Started with BigQuery
4. Advanced Concepts In Big Query
5. Authorized Views in Big Query
6. Best Practices for Big Query

Common Table Expressions (CTEs)

CTEs provide a way to write more modular and readable queries by defining temporary result sets that can be referenced within a SQL query. CTEs are particularly useful for breaking down complex queries into simpler parts, improving both maintainability and readability.

Example: Using a CTE for Organizational Data Analysis

WITH DepartmentSales AS (…