Category: bigquery
Handling null values in Google Bigquery: Best practices for data cleaning
1. Overview of NULL in Databases In the realm of databases, the term “NULL” represents the absence of any specific…
Navigating date arithmetic in Google BigQuery : Subtracting days from a date column
In data analysis, sometimes you may need to perform arithmetic on date columns, such as subtracting a number of days…
Google BigQuery: Converting Timezones in a datetime column – Sample code inside
Mastering timezone conversion in Google BigQuery In the world of global data analytics, dealing with data across multiple time zones…
Extracting minutes from timestamp in Google BigQuery and handling in PySpark
Often in data analytics, there’s a need to extract specific parts of a date or timestamp for more granular analysis….
Google BigQuery: Truncate date and timestamp – Example with sample data included
When dealing with data in Google BigQuery, especially time-series data, it’s common to want to truncate dates and timestamps to…
Google BigQuery: Filling null dates with previous row value
In the data world, it’s not uncommon to encounter scenarios where certain records might have missing date values. In BigQuery,…
Bigquery : Allows BigQuery to return query results much faster
Understanding Google Cloud BigQuery Storage API v2.10.0: A Comprehensive Guide Google Cloud BigQuery is a fast, scalable, and cost-effective multi-cloud…
GCP : Monitoring Google BigQuery Costs for Each SQL Query
Google BigQuery is a powerful tool for analyzing large datasets, but it’s also important to keep track of costs to…
GCP : Connecting Python to Google BigQuery
Google BigQuery is a web service from Google that is used for handling and analyzing big data. It’s part of…
BigQuery : How do you set up and manage user access to BigQuery ? Step by Step explanation
BigQuery provides several ways to manage user access to its resources, including projects, datasets, and tables. Here’s an overview of…
