Find the user session data you need and better understand customer experience with new USQL functions

Dynatrace has introduced enhancements to its user session queries, aiming to provide deeper insights into customer interactions with applications. These improvements include the LIKE function, which allows users to filter data based on specific patterns using wildcard characters, and the new user error table that facilitates the identification and replay of user session errors within specific segments. Additionally, the PERCENTILE function offers a more comprehensive view of application performance by evaluating how different percentiles of users experience the application, particularly in terms of response times. The FILTER function further allows for the analysis of aggregated data to quickly identify high-value applications, and basic mathematical operations can now be performed on certain fields to modify numerical values. These updates are designed to enhance the understanding of user experiences and improve application performance, with more features planned for future releases.