BigQuery is a Google Cloud service that provides public datasets such as information from GitHub and NIH chest x-rays that can be analyzed using SQL queries. To use BigQuery, a user must create a Google account, sign up for the free trial of Google Cloud Platform services, and then create a project. Within the created project, the user can access public GitHub data repositories by navigating to the GitHub dataset in BigQuery and writing and executing SQL queries against the data.

1. How to use Google BigQuery
(Github_Repo)

2. BigQuery public datasets
• BigQuery is a service provided by Google Cloud Platform
• Google provides various public dataset (like- Github dataset, NIH
chest x-ray dataset)
• One can analyze their dataset by performing legacy SQL or standard
SQL queries
• You can learn more about BigQuery from
https://cloud.google.com/bigquery/public-data/

3. Step 1: Create Account
• Open a google account
• Visit: https://cloud.google.com/blog/products/gcp/github-on-
bigquery-analyze-all-the-open-source-code
• Click Free Trial
• Google provides $300 as free credit for accessing the services from
Google Cloud Platform
• For example, When you make a query, they will charge you based on
that query
• You can even purchase extra credit
• They provide you to create 9 project as a free quota

4. Step 2: Fill Basic Information

5. Step 3: Create a Project

6. STEP 4: Open Github Repo in BigQuery
Visit https://console.cloud.google.com/bigquery?p=bigquery-public-
data&d=github_repos&t=commits&page=table
You will see the Github repos being expanded on the left side navigation bar

7. Step 5: Execute Query
Sample query to retrieve repository
from different users
Shows how much data it will process by
querying the dataset
• Make the query efficient so it will cost you less and try not to run the same query several times
• Instead save all the queries output
• For learning more about Standard SQL syntax : https://cloud.google.com/bigquery/docs/reference/standard-sql/query-
syntax

8. Bingo!
You have successfully installed and
learnt how to use BigQuery to
analyze data!