Context Selector
Set your execution context across four dimensions with the new context selector in the top navigation. This segmented pill button replaces the previous “Data Plane” dropdown and gives you control over where your queries execute and what data is visible.- Switch between data planes to change which objects are visible throughout the platform
- Choose compute pools to control whether queries use dedicated, shared, or default resources
- Set database and schema scope for your current session
- Context is saved per-browser and persists across sessions
- View documentation →
Quick Wins
OBJECT_REMOVE_NULLS Cross-Platform Support: TheOBJECT_REMOVE_NULLS function is now accepted on AWS hosted data planes as a no-op, so NQL queries that use it on Snowflake don’t need to be rewritten for AWS.Workflow Orchestration
Automate multi-step data pipelines that execute in a defined sequence based on task dependencies. Define your workflow once using the Serverless Workflow DSL (YAML format) and let the system handle orchestration—no manual triggering required.- Create materialized views, refresh them, and run DML operations in automated sequences
- Schedule workflows with cron expressions for recurring execution
- Sequential task execution with fail-fast error handling
- Three built-in task functions:
CreateMaterializedViewIfNotExists,RefreshMaterializedView,ExecuteDml - View documentation →
Workflow Orchestration is currently API-only. A UI for creating and managing workflows is coming soon.
FORMAT_TIMESTAMP Function
Format timestamps into custom string representations with the newFORMAT_TIMESTAMP NQL function. Convert timestamp columns to date-only strings, time-only strings, or ISO 8601 formats with or without timezone information.- Supports standard date/time format patterns (YYYY, MM, DD, HH24, MI, SS, TZH, TZM)
- Works across both Snowflake and AWS hosted data planes
- View documentation →
Quick Wins
File Uploads with Special Characters: You can now upload files with special characters in their names—such as square brackets, spaces, and other non-alphanumeric characters—during dataset creation. Previously, these file names would cause the upload to fail, requiring you to rename files before uploading.Rosetta Stone Normalized Datasets Page
Evaluate and improve your data normalization with full visibility into Rosetta Stone’s AI-powered mapping confidence scores. The new Normalized Datasets view (Rosetta Stone → Normalized Datasets) surfaces how well your datasets map to Rosetta Stone attributes, helping you quickly identify which mappings need attention.- View all normalized datasets with color-coded confidence scores (high/medium/low)
- See mapping type indicators showing AI-generated vs. manual mappings
- Sort by columns, rows, confidence, or creation date
- Filter by data plane to focus on specific environments
- Search datasets by name
Quick Wins
AI-Generated Dataset Descriptions: Click the Rosetta icon next to any dataset description to automatically generate a rich, contextual description. Rosetta AI analyzes your dataset’s schema and sample data to create descriptions that explain what the data is and where it came from—saving you from writing documentation from scratch.Simplified Refresh Schedule Editor: We removed the confusing “Advanced” mode from the refresh schedule editor based on user feedback. Need a custom cron schedule? Just describe it in plain language and Rosetta AI generates the correct cron expression for you.TikTok Audience Connector
Deliver first-party audiences directly to TikTok Ad Accounts within your Business Center through Narrative’s new TikTok Connector.- Secure OAuth 2.0 authentication with TikTok Business Center
- Support for SHA256 hashed emails, phone numbers, and mobile advertising IDs (IDFA/GAID)
- Create new audiences or update existing TikTok Custom Audiences
- Distribute audiences across multiple Ad Accounts
- Available in Audience Studio and My Data → Datasets → Connections tab