Tags / google-bigquery
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
Extracting Repeated Patterns with BigQuery SQL REGEXP_EXTRACT Function
Optimizing Active Accounts Query with Start/End Date on Google BigQuery: A Performance-Boosting Solution
Using BigQuery to Find Popular Combinations of Columns from Two Tables Using SQL Joins and Aggregation Functions
Mastering BigQuery MERGE Queries: Best Practices for Handling Updates and Inserts
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.
Uploading DataFrames to BigQuery Using Python: A Step-by-Step Guide
Understanding BigQuery's any_value Function for Advanced Data Analysis
Loading Data from BigTable to BigQuery: Direct and Efficient Methods