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.