2025.3
This release was focused on bug fixes and performance improvements, especially for Zap Live.
This release was focused on bug fixes and performance improvements, especially for Zap Live.
This release includes Zap Live, a new Excel add-in that connects to Data Hub analytics from within Excel, as well as modeling improvements such as clickable pipeline links in the process tree and enhanced partitioning resilience for loading large tables.
This release includes the full release of Zappy (an AI assistant) and weekly AMA sessions, alongside technical improvements to the Excel Online and SAP B1 connectors.
This release introduces a new delta pipeline processing type for significantly faster add and update processing of large datasets, along with general performance enhancements and bug fixes.
Data Hub has expanded its video library with new training content, and added major modeling improvements including source delete processing during incremental load, a new pipeline processing type, processing only for selected data sources, and new analytics features for dynamic captions for calculated members.
Data Hub introduces Zappy, an AI assistant for administrators, and adds three new external lookup services (PII detection, entity recognition, and OpenAI integration) to its modeling capabilities, along with various performance improvements.
Data Hub now supports embedding reports in Teams channels and includes version history for resources, as well as adding red negative number formatting and various performance improvements.
This release introduces an expanded in-app video library accessible through the help menu and a new lookup feature in pipeline previews that allows users to view related data based on existing relationships while designing pipelines.
This release simplifies user license allocation by removing the strict designer/consumer split in favor of a more flexible total user count system, while also expanding rich text tooltips throughout Data Hub Analytics for better product guidance.
This release includes improved warehouse partitioning that preserves timestamps while capturing source deletes (replacing the old incremental load feature), and adds MFA support for Data Hub Model servers connecting to Power BI workspaces.