Post by account_disabled on Dec 6, 2023 2:48:27 GMT -2
The good news is that from the GA4 service view we can integrate accounts and use BigQuery in Google Analytics 4. This can be done by logging in to the correct Google Analytics account, selecting the appropriate service. Then in the settings, in the “Service connections” section, clicking “BigQuery connections”. Graphic showing the possibility of connecting services.
The next step is to select the BigQuery project you want to export data from GA4 to and confirm the connection. Once you connect your GA4 property to your BigQuery project, you can Job Function Email List use BigQuery to analyze large data sets and create advanced reports. Creating reports using BigQuery BigQuery 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 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.
The next step is to select the BigQuery project you want to export data from GA4 to and confirm the connection. Once you connect your GA4 property to your BigQuery project, you can Job Function Email List use BigQuery to analyze large data sets and create advanced reports. Creating reports using BigQuery BigQuery 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 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.