Google Analytics 4 with BigQuery SQL

Hands-on query snippets to extract valuable metrics and insights from Google Analytics 4 data stored in BigQuery.

  • Setup the BigQuery environment

    In this first post, we'll guide you through the essential steps to set up your BigQuery environment, a crucial component for analyzing GA4 data using SQL.

  • Link Google Analytics 4 and BigQuery

    The synergy between Google Analytics 4 (GA4) and BigQuery can unlock a wealth of insights that can drive your business forward.

  • Google Analytics 4 Daily & Streaming Export

    In this section, we'll explore the nuances of enabling daily, streaming, or a combination of both data export methods in GA4. Understanding these options is crucial for making informed decisions about how you collect and process your GA4 data.

  • Access GA4 Dataset in BigQuery

    How to access your Google Analytics 4 (GA4) dataset in BigQuery, dive into the data and explore the myriad possibilities for analysis and insights.

  • Explore GA4 Export Schema in BigQuery

    The ability to comprehend and navigate your data is essential. In this section, we will dive deep into understanding the Google Analytics 4 (GA4) export schema in BigQuery.

  • GA4 BigQuery SQL: Datasets for Our Course

    Throughout this course, we use GA4 BigQuery sample export data from e-commerce app and Firebase Analytics from gaming app.

  • GA4 BigQuery SQL: Querying Wildcard Tables

    In this section of our GA4 BigQuery SQL Course, we'll learn about the technique of querying Wildcard Tables, which offer a dynamic and efficient approach to querying data across multiple tables with a common naming pattern.

  • GA4 BigQuery SQL: DATE, DATETIME, and TIMESTAMP Data Wrangling

    In this section, we'll dive into the intricacies of wrangling `DATE`, `DATETIME`, and `TIMESTAMP` data types. Understanding how to work with date-time-related data is essential for extracting meaningful insights from your GA4 datasets.