For each Google Analytics 4 property that is linked to BigQuery, a single dataset named “analytics_<property_id>” is added to your BigQuery project.
Property ID refers to your Analytics Property ID, which you can find in the property settings for your GA4 property.
In my case, the property ID is 207472454. That’s why the name of my data set is ‘analytics_207472454‘
This data set contains the following two data tables:
events_(<number of days>)
events_intraday_<current date>
Get the E-Book (50 Pages)
Get the FREE E-Book (50+ Pages)
events_ data table
All the GA4 event data from the previous day(s) is available in the ‘events_’ data table. This table is automatically imported for each day of export.
events_(1) means all the GA4 event data from the previous day is available in this data table.
events_(2) means all the GA4 event data from the previous two days is available in this data table.
events_(3) means all the GA4 event data from the previous three days is available in this data table.
events_(4) means all the GA4 event data from the previous four days is available in this data table.
events_(5) means all the GA4 event data from the previous five days is available in this data table.
Note: The ‘events_’ data tables are named as “events_YYYYMMDD” where “YYYYMMDD” refers to the date the table was imported to BigQuery:
The ‘events_’ data table corresponds to the ‘Daily’ frequency setting in GA4:
Clicking on the ‘events_’ data table will show you the structure of that table:
Click on the drop-down menu to see GA4 events data for a particular date:
Click on the ‘Details’ tab to get details (like table size) of the ‘events_’ table:
Click on the ‘Preview’ tab to view the data in the ‘events_’ table without running a single query:
Click on the ‘QUERY TABLE’ button if you want to query the ‘events_’ data table
events_intraday_ data table
All the GA4 event data from the current day is available in the ‘events_intraday_’ data table. This table is automatically updated throughout the day. That’s why it is called ‘events_intraday’ table.
Note: The ‘events_intraday_’ data table is named as “events_intraday_YYYYMMDD” where “YYYYMMDD” refers to the current date:
The ‘events_intraday_’ data table corresponds to the ‘streaming’ frequency setting in GA4:
Clicking on the ‘events_intraday_’ table will show you the structure of that table:
Click on the ‘Details’ tab to get details (like table size) of the ‘events_intraday_’ table:
Click on the ‘Preview’ tab to view the data in the ‘events_intraday_’ table without running a single query:
Click on the ‘QUERY TABLE’ button if you want to query the ‘events_intraday_’ table:
"How to use Digital Analytics to generate floods of new Sales and Customers without spending years figuring everything out on your own."
Here’s what we’re going to cover in this training…
#1 Why digital analytics is the key to online business success.
#2 The number 1 reason why most marketers are not able to scale their advertising and maximize sales.
#3 Why Google and Facebook ads don’t work for most businesses & how to make them work.
#4 Why you won’t get any competitive advantage in the marketplace just by knowing Google Analytics.
#5 The number 1 reason why conversion optimization is not working for your business.
#6 How to advertise on any marketing platform for FREE with an unlimited budget.
#7 How to learn and master digital analytics and conversion optimization in record time.
My best selling books on Digital Analytics and Conversion Optimization
Maths and Stats for Web Analytics and Conversion Optimization
This expert guide will teach you how to leverage the knowledge of maths and statistics in order to accurately interpret data and take actions, which can quickly improve the bottom-line of your online business.
Master the Essentials of Email Marketing Analytics
This book focuses solely on the ‘analytics’ that power your email marketing optimization program and will help you dramatically reduce your cost per acquisition and increase marketing ROI by tracking the performance of the various KPIs and metrics used for email marketing.
Attribution Modelling in Google Analytics and Beyond
Attribution modelling is the process of determining the most effective marketing channels for investment. This book has been written to help you implement attribution modelling. It will teach you how to leverage the knowledge of attribution modelling in order to allocate marketing budget and understand buying behaviour.
Attribution Modelling in Google Ads and Facebook
This book has been written to help you implement attribution modelling in Google Ads (Google AdWords) and Facebook. It will teach you, how to leverage the knowledge of attribution modelling in order to understand the customer purchasing journey and determine the most effective marketing channels for investment.
About the Author
Himanshu Sharma
Founder, OptimizeSmart.com
Over 15 years of experience in digital analytics and marketing
Author of four best-selling books on digital analytics and conversion optimization
Nominated for Digital Analytics Association Awards for Excellence
Runs one of the most popular blogs in the world on digital analytics
Consultant to countless small and big businesses over the decade
Get the E-Book (50 Pages)
Get the FREE E-Book (50+ Pages)
