• 1) New Features
• 1a) Control panel with filters
• 1b) Lakehouse integration
• 1c) Scatter plot
• 1d) Script parameters in ETL
• 1e) Data source from knowledge
• Here’s how it works
• 1f) Multi-Column Aggregations
• 2) Improvements & Bugs fixes

1) New Features

1a) Control panel with filters

• You can now create filter controls for your sheets, dashboards, and applications directly from the new Control Panel.

• Filters can be enabled/disabled with a simple click on the filter icon.

• Here’s an example of filters in Applications:

1b) Lakehouse integration

Our Lakehouse integration now supports Hive and Apache Iceberg, expanding your data compatibility options.

For complete documentation and setup details, please visit: Lakehouse Integration Documentation

1c) Scatter plot

We’ve enhanced scatter plot visualizations for advanced insights.

Here’s what’s new:

• Display 2 groups within a single scatter plot for deeper comparisons.
• Choose custom colors for better visual differentiation.
• Flexible size mode and color mode for enhanced data exploration.

🎨

Color Mode Example

🔎

Size Mode Example

1d) Script parameters in ETL

Parameter in script now support an array of values:

1e) Data source from knowledge

We’ve introduced a powerful new capability: datasources from unstructured data! You can now easily transform unstructured documents—like PDFs—into structured, queryable datasources.

Here’s how it works

1. Add your data:

Head over to the Knowledge section and upload your unstructured data (for example, PDF files).


2. Initiate datasource creation:

In the Datasource section, select Create datasource from knowledge.


3. Configure your extraction:
• Choose the knowledge source you uploaded.
• Enter a prompt to specify exactly what information you want to extract from the files.

4. Define the schema:
• You can either define the schema yourself or have it generated automatically from your prompt.
5. Finalize:

Click Next and Save. That’s it! You’ve now created a structured datasource from your unstructured data.

This new feature makes it easier than ever to harness the value of your documents. Enjoy exploring!

1f) Multi-Column Aggregations

You can now compute aggregations that rely on two columns. This update includes support for the following aggregation types:

• ArgMin
• ArgMax
• Weighted Average
• Count If
• Count Unique If
• Sum If

2) Improvements & Bugs fixes

• Pivot table & charts:
• Be able to format columns and rows.
• New algorithms to compute % of totals in pivot tables.
• Charting improvements.
• Improved pivot table functionality.
• AI:
• AI workspaces now integrated with the App Co-Builder.
• Alpha release of AI mapping with scheduling.
• Data:
• Improved introspection of warehouse tables (lazy instead of greedy loading).
• Knowledge: be able to download the original file.
• Smarter load of data statistics.
• Other:
• Application color editing capability.
• Better handling of frozen column formatting.
• Enhanced Python runner (scalable out).