Data Source Version History in Google Data Studio

Last Updated: October 16, 2022

While editing a data source schema, you get the option to see the version history of the data source schema:

version control

Use the ‘See version history‘ setting to view and/or restore previous versions of the data source schema. 

As you edit a data source schema, Data Studio keeps a history of your changes in the form of versions.

Version history lets you view previous revisions and show when they were created and by whom. You can also restore a previous version of the data source schema if needed.

To change the ‘Version History’ setting, follow the steps below:

Step-1: Click on the ‘clock’ icon:

version control

Step-2: Select the previous version you want to see and/or restore:

version history 1

Step-3: Once you have selected a version then click on the ‘Restore this version’ button:

restore to version

Step-4: Click on the ‘Restore’ button:


Other articles on Google Data Studio

  1. Google Data Studio Alternative – Whatagraph
  2. Google Data Studio Parameters explained with examples
  3. Google Data Studio Number Formats / Data Types
  4. How to Change Language in Google Data Studio
  5. Google Data Studio Date Format and Time Explained
  6. Google Data Studio Tutorial with FREE PDF ebook
  7. Google Data Studio Functions, Formulas Tutorial
  8. How to work with the Boolean field in Google Data Studio
  9. Google Data Studio Page Navigation Tutorial
  10. Understanding Report Editor in Google Data Studio
  11. Best practices for creating a report in Google Data Studio
  12. How to share reports in Google Data Studio
  13. Seven methods to create a new report in Google Data Studio
  14. Google Data Studio Report Tutorial
  15. How to invite people to view or edit a report in Google Data Studio
  16. How to share the link of your report in Google Data Studio
  17. Schedule email delivery of a report in Google Data Studio
  18. How to download Data Studio report as PDF
  19. How to embed a Data Studio report on a website
  20. Guide to Data Types in Google Data Studio
  21. Image function in Google Data Studio
  22. Image Link data type in Google Data Studio
  23. Image data type in Google Data Studio
  24. Google Data Studio Geo Map – Latitude Longitude
  25. Why You Should Avoid Using Functions and Calculated Fields in Data Studio
  26. Google Data Studio Calculated Fields Tutorial
  27. Working with the Text data type in Google Data Studio
  28. The Data Set Configuration Error in Google Data Studio
  29. Data Source Fields in Google Data Studio – Tutorial
  30. Refresh data source schema fields in Google Data Studio
  31. Google Data Studio Data Sources – Tutorial
  32. Google Data Studio Dimension vs Metric
  33. How to filter by email in Google Data Studio
  34. Google Data Studio – Sharing Data Sources (aka data source schema)
  35. Field editing in reports – Google Data Studio
  36. Community Visualization Access in Google Data Studio
  37. Understanding Data Source Credentials in Google Data Studio
  38. Understanding Data Freshness in Google Data Studio
  39. How to create and configure a data source in Google Data Studio
  40. Google Data Studio Aggregation Explained
  41. How to Edit a Calculated Field in Google Data Studio
  42. Formula Rejection in Google Data Studio
  43. Doing Basic Maths on Numeric Fields via Calculated Fields

Register for the FREE TRAINING...

"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 BeyondSECOND EDITION OUT NOW!
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,
  • 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
error: Alert: Content is protected !!