Programming and DevOps Essentials
Programming and DevOps Essentials
Tags / google-bigquery
Exploding Time Duration Defined by Start and End Timestamp by the Hour in BigQuery Using UNNEST and Generate_timestamp_array
2025-04-07    
Transforming Column of Lists into Array Type in BigQuery Using REGEXP_EXTRACT and SPLIT
2025-01-24    
Understanding the Mystery of SQL WHERE Filters: How to Avoid Blank String Confusion in Your Queries
2024-11-22    
Converting Array-of-Strings to Array-of-Type in BigQuery: A Practical Guide to Workarounds and Solutions
2024-08-29    
Converting Variable Array Sizes from BigQuery to MySQL
2024-05-10    
Resolving Column Name Ambiguity in BigQuery: A Deep Dive
2024-04-17    
Handling Wildcard Values in SQL Joins: A Solution Using Conditional Logic and BigQuery
2024-03-13    
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.
2024-03-06    
Resolving Errors in Shiny Reactive Objects: A Solution for Google BigQuery Connectivity
2023-10-27    
Returning Many Small Data Samples Based on More Than One Column in SQL (BigQuery)
2023-06-29    
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