Optimizing reports for performance

Fast report load times and responsiveness are paramount for a good user experience in any visualization tool. Certain design and implementation choices may adversely impact report efficiency. In this section, you will learn about several techniques that will help you optimize Looker Studio reports performance-wise. Some of the considerations here may only be relevant when dealing with truly large volumes of data.

Optimizing data sources

A major reason for lag in Looker Studio is the volume or size of the data being queried. Hence, the first place you can look to for improving the performance of your reports is the data sources.

Modeling the data source

Data sources in Looker Studio are logical constructs and do not pull data from underlying datasets unless this is requested from reports and explorations. Typically, date ranges and other filters defined at the report level determine the maximum volume of data the report can retrieve and...