Tutorials

• 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.

• Reference patterns

  Links to sample code and technical reference guides for common BigQuery use cases.

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