Tag: bigquery_interview
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…
What is quoted identifiers in Big query? How to use case-sensitive column and table names in Big query?
Quoted identifiers in BigQuery are used to specify case-sensitive column and table names. They allow you to use column and…
Can you give an example of how you would use BigQuery to perform data exploration and visualization?
To use BigQuery for data exploration and visualization, you would first need to load your data into a BigQuery table….
Explain the architecture of BigQuery and how it processes ?
BigQuery is a fully managed, cloud-based data warehousing service provided by Google. It is built on top of the Google…
How to create and delete a BigQuery dataset and table?
Creating a BigQuery dataset and table: Go to the BigQuery web UI in the Cloud Console. Click the project drop-down…
Pyspark code to read and write data from and to google Bigquery.
Here is some sample PySpark code that demonstrates how to read and write data from and to Google BigQuery: from…
How to connect Pyspark to Google BigQuery ?
To connect PySpark to Google BigQuery, you will need to have the Google Cloud SDK and the BigQuery connector for…
