Released on August 28, 2024
Rollup Totals
We are introducing a new type of total that aligns with the metric it aggregates. For example, if the metric is SUM, the rollup will also use SUM, and so on.
Rollup totals are “smart” aggregations. They are particularly useful for tables displaying metrics that represent average values, helping to avoid aggregations like averages of averages.
Example:
- Won Metric: The rollup represents the sum of all regions’ won amounts, making the Sum and Rollup (Total) equal.
- Avg. Won Metric: Instead of averaging the row’s values (which are already averages), the rollup averages the original underlying data before it was aggregated by the Won metric and divided into regions like East Coast and West Coast. Consequently, the value of Avg (an average of averages) differs from the Rollup (Total) average (an average based on the original data).
See Rollup Totals for details.
Disable Passing Filters in Drill-Throughs
You can now choose to exclude certain dates or attributes from being applied as filters when drilling into visualizations, dashboards, or drill-downs. This allows for more flexible data exploration by controlling which filters are passed during drills. See Disable Passing Filters in Drill-Throughs for more details.
GoodData Python SDK 1.25.0
New version of the Python SDK is available today. Please note that in this version we have dropped support for Python version 3.8, please ensure your Python version is up to date if you update to this version of GoodData Python SDK. For details see the changelog.
Upgrade GoodData.CN to 3.14
To upgrade the Helm chart, follow the general upgrade guide.