Tag: gcp
GCP : The user account authentication flow no longer works as of Febuary 1, 2023.
Since the user account authentication flow has changed, you should go ahead with the Cloud SDK installation to authenticate and…
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…
BigQuery : What is STRUCT in Google BigQuery
The STRUCT expression in BigQuery allows you to create a structure or a nested field in your query result. This…
BigQuery : What is the easy way to return all columns from multiple table after joining them ?
The SELECT expression.* syntax in BigQuery is used to select all columns from a specific source within the query. The…
BigQuery : How do you create a table from a query result in BigQuery ?
You can create a new table in BigQuery from the results of a query by using the ” CREATE TABLE…
BigQuery : How to process BigQuery Data with PySpark on Dataproc ?
To process BigQuery data with PySpark on Dataproc, you will need to follow these steps: Create a Google Cloud Platform…
BigQuery : Learn how BigQuery handles partitioning and clustering of data.
BigQuery uses partitioning and clustering to optimize query performance and minimize the amount of data that needs to be scanned….
BigQuery : How do you load data into BigQuery and what are the different options for loading data?
BigQuery is a serverless, budget-friendly, multicloud data warehouse created to assist you in transforming large data into insightful business information. …
BigQuery : What are the different data types supported by BigQuery?
BigQuery supports a wide variety of data types, including: Numeric types: INTEGER, FLOAT, NUMERIC String types: STRING, BYTES Date and…
BigQuery : Handle missing or null values in BigQuery
In BigQuery, missing or null values can be handled in several ways: Using the IS NULL and IS NOT NULL…