Creating an authorized view in BigQuery
Create an authorized view to share query results with particular users and groups without giving them access to the underlying tables.
Downloading BigQuery data to pandas
Download data to the pandas library for Python by using the BigQuery Storage API.
Visualizing BigQuery data using Google Data Studio
Create reports and charts to visualize BigQuery data using Google Data Studio.
Visualizing BigQuery data in a Jupyter notebook
Analyze BigQuery data with Pandas in a Jupyter notebook.
Real-time logs analysis using Fluentd and BigQuery
Log browser traffic to a nginx web server using Fluentd, query the logged data by using BigQuery, and then visualize the results.
Analyzing financial time series data using BigQuery
Perform time-series analysis of historical spot-market data with BigQuery and visualize the results.
Links to sample code and technical reference guides for common BigQuery use cases.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.