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Juthi5019

You can 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 C Level Contact List 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. Using SQL to create our own queries and tables, we can combine data from GA4 with other data sources or use data visualization tools.