Returning Many Small Data Samples Based on More Than One Column in SQL (BigQuery)

Flatten JSON Data into Columns in Big Query for Easier Analysis and Processing

Transforming Column of Lists into Array Type in BigQuery Using REGEXP_EXTRACT and SPLIT

Understanding the Power of Partitioned Tables in BigQuery for Optimized Joins

Simulating Pandas `removeDuplicates()` in Google BigQuery SQL Using GROUP BY and FIRST() Functions

Loading Data from BigTable to BigQuery: Direct and Efficient Methods

Uploading Excel Files to BigQuery: A Step-by-Step Guide and Troubleshooting the "Bad Character" Error in Google Cloud Platform

Understanding the Mystery of SQL WHERE Filters: How to Avoid Blank String Confusion in Your Queries

Choosing between DATE and TIMESTAMP formats When working with dates in BigQuery, consider the following: Use the `DATE` format when you need to store or compare only dates (e.g., birthdays). Use the `TIMESTAMP` format when you need to include time information (e.g., log timestamps). Both formats are supported in BigQuery queries and operations.

Solving BigQuery Standard SQL: Counting Active User Events Over Three-Day Windows