google-big-queryHow do I use the Google BigQuery endpoint?

Using Google BigQuery is a great way to analyze large datasets quickly and efficiently. Here is an example of how to use the BigQuery endpoint:

# Import the BigQuery client library
from google.cloud import bigquery

# Create a "Client" object
client = bigquery.Client()

# Construct a reference to the dataset
dataset_ref = client.dataset("my_dataset")

# API request - fetch the dataset
dataset = client.get_dataset(dataset_ref)

This code will create a client object, and then use it to construct a reference to the dataset named "my_dataset". Finally, it will use the client object to make an API request and fetch the dataset.

Code explanation

1. Import the BigQuery client library
2. Create a "Client" object
3. Construct a reference to the dataset
4. Make an API request - fetch the dataset

Helpful links

• Google BigQuery Documentation
• Google BigQuery Quickstart

Edit this code on GitHub