DataClarity 2022.3 brings the following features and enhancements:
- Explore data in a dataset
Installation & Configuration
The dataset’s data exploration has been moved to a dedicated window where you can focus on experimenting with data―explore a dataset in a table view, apply pivoting, filtering, and profiling techniques to uncover patterns and characteristics of the dataset. To analyze data in a dataset, point to More actions on the dataset tile and select Explore data.
You can also easily navigate to the dataset cataloging pages and perform any of the available actions―use the new dataset actions menu in the upper-right corner of the Explore data window next to the dataset name.
The dataset explorer has been renamed to Cataloging & lineage, where you can focus on cataloging and curating a dataset. In addition, the dataset overview card now includes the ID field, where you can track the unique identifier of the dataset to reference it in REST API calls.
The data exploration part has been moved to the dedicated window, where you can use a table view, apply pivoting, filtering, and profiling techniques to uncover patterns and characteristics of the dataset. To navigate to the data exploration, point to More actions in the upper-right corner, and select Explore data.
Now, you can easily track the unique identifiers of your data connections and AI connections and reference these objects in REST API calls you might use. To view the ID of a data connection or AI connection, for the corresponding object, go to More actions, and select Info.
Previously, some filter conditions did not include “seconds” and you could not filter columns with precise time. Now, when adding a filter with the operators like “equals to” and “doesn’t equal”, you can select a value for seconds in the respective dropdown.
You can now use keyboard shortcuts to expedite common operations with datasets. When renaming, duplicating, and exporting a dataset, press the Enter key to complete the action and the Esc key to cancel the action.
You can now use keyboard shortcuts to expedite common operations with data connections and AI connections. When duplicating or exporting a connection, press the Enter key to complete the action and the Esc key to cancel the action.
Previously, the maximum query execution time for all Cognos packages was set to 30 seconds. This time has been extended to 1 minute to avoid timeouts for larger packages. Moreover, for complex packages requiring a longer time to return a query, you can now use the parameter called “maxQueryExecutionTime” that is supported starting from this release. To do so, enter the parameter and the time for the query execution in the Options field when creating a Cognos package data source connection.
The Python widget’s code editor has been enhanced to help you better manage Python code that you add in DataClarity:
- Increased size of the Python code window helps you better manage large pieces of code.
- Line numbering is now available in the code editor pane.
- The Python code window includes the Output pane―you can preview the code results directly in the editor without leaving the window.
- You can resize sections for the code editor and for preview by dragging the line separating the two sections of the window.
Now, you can easily track the unique identifiers of your storyboards. This might be useful for referencing storyboards in REST API calls or when creating a process to automate storyboard publishing. To view the ID of a storyboard, go to More actions, and select Info.
You can now use keyboard shortcuts to expedite common operations with storyboards. When adding, renaming, duplicating, and exporting a storyboard, press the Enter key to complete the action and the Esc key to cancel the action.
Now, administrators can monitor and troubleshoot data query execution by using a dedicated web interface, namely:
- Monitor overall health and resources consumptions
- View history of queries, including execution plan and time
- Execute data queries to existing sources to test, troubleshoot, and validate data
- View the detailed logs
The installation scripts have been improved to streamline the installation process by providing additional guidelines for each step. Moreover, you can preview the token information at the end of the installation and use the home page link to quickly navigate to the installed DataClarity platform.