![]() Create a new project and be sure to enable the BigQuery API. ![]() Create a Google API project – Start by navigating to the Google Developers Console.There are a few steps to enable and configure a BigQuery project for Google Analytics 360 views. Setting Up BigQuery with Google Analytics 360 At the time of this post, the current costs are: While the integration is free, there are costs for storing and querying data in BigQuery, but they are in the lower range. Costs:īigQuery is included in the subscription costs for Google Analytics 360 users and accessed by adopting and utilizing Google Analytics 4 properties or Firebase Analytics projects. However, on the flip side, it is important to note that it is necessary to manually calculate many of the metrics that we see natively in the GA web interface, such as total users, total sessions, etc. Google BigQuery is a structured database that allows for nested and repeated fields, and gives users the opportunity to perform more in-depth statistical analysis that simply isn’t possible within the Google Analytics web interface. This feature is a major benefit for analyzing unsampled data as there are limited methods for getting around sampling within the Google Analytics interface. Google Analytics 360, Google Analytics 4 (also known as App + Web), and Firebase Analytics users can enable an automated, daily export of their raw Google Analytics data into Google BigQuery. ![]() Furthermore, it will also show how AWS Glue ETL connects to BigQuery tables, migrates the data into Amazon S3, and then moves the aggregated data to Redshift for a centralized reporting source.Ĭlick here if you are looking to migrate Adobe Analytics to Redshift. This blog will show how to enable data injection from Google Analytics and Firebase Analytics to BigQuery. ![]()
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