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The next step is to select the project you want to export data from GA4 to and confirm the connection. Once you connect your GA4 property to your project, you can use BigQuery to analyze large data sets and create advanced reports. Creating reports using supports SQL (Structured Query Language), which loosely translates to Structured Query Language. It is a programming language that is used to create.

Modify, manage and query databases. Therefore, SQL is a language that enables communication between a program and a database, thus making it easier to manage. BigQuery is scalable, secure and, most importantly, fast. This C Level Contact List means it can process terabytes of data in seconds. Additionally, if we use external tools to create reports, such as LookerStudio (former Google Data Studio.



If you don't know what I'm writing about, take a look at the post about building reports for your campaign ), this will protect us from exceeding query limits when creating reports and we will have greater confidence that our reports will work and display the right data. Unfortunately, tools for creating reports "asking for data" - Google Analytis or Google Ads - send queries that are limited. BigQuery is more resistant to these limits.