The release includes a number of changes and new features in the Dashboards and Analytics modules, aimed at improving data handling efficiency and performance.
The main update to the Dashboards module for creating interactive dashboards is the implementation of a built-in ETL module that combines the Extract (import), Transform (data merging, column type changes, calculations / formulas), and Load (loading into local storage) processes. Users can create datasets from multiple data sources with subsequent transformation and loading into the system's local storage, as well as based on a single source and loading in direct connection mode.
In addition, table/view merging by multiple keys has been added, and the capabilities for working with datasets using No-code and SQL have been expanded. It is now also possible to edit column names directly in the ETL dataset window, and a search function has been added for sources and tables.
In the current update of the Analytics module for real-time big data analysis, the main focus is on improving usability - both from the user experience perspective and in terms of optimizing the load on the server, database, and rational use of system engineers' resources.
