Sigma Product Launch: Fall 2024
Explore the newest updates to Sigma that bring more trust and flexibility to your data environment.
Here’s what we launched:
Data Models
Data models are new foundational objects in Sigma that contain all the primitives you need to build a robust, fully governed semantic model, including:
- Reusable tables
- Relationships
- Metrics
- Role-based permissions
- Version tagging on data models
While data models in Sigma are GUI-based, you can also integrate with code-based semantic layers, like the dbt Semantic Layer.
Sigma BI Analyst by Hakkōda
With our partner Hakkoda, we’ve developed a free Snowflake Native App that helps you assess your existing BI sprawl and explore strategies to migrate to Sigma. Once you configure your Tableau, Looker, or Power BI accounts with the app, you'll be able to see:
- Workbook statistics
- Data source patterns
- License utilization
You can also connect the app to Sigma via a free trial and explore:
- Potential cost savings if you switch to Sigma
- How formulas might change between BI tools during a migration
Glean Integration
We’ve built an integration with Glean, which allows users to query other data sources (like Slack, Confluence, or Google Docs), using a Sigma cell or multiple cells as a starting point.
It’s a great way to connect the structured data within Sigma to all the unstructured data you use in your workflow. You’ll work faster, and get to answers sooner.
Overlay Containers
Overlay containers are a type of container that you can set to appear over a dashboard or report. The first type we’re launching is a modal, which is anchored to the center screen. You can use these overlay containers to convey important information in a workbook, such as:
- A guide on how to understand a report when viewing it for the first time
- Advanced dashboard controls for more experienced users
- More detailed analysis after clicking on a cell in a table
OAuth with Write Access
Sigma now supports OAuth with write access for both Snowflake and Databricks.
This makes Sigma the first and only data analytics platform to support OAuth with write access to either Snowflake or Databricks.
Embedded Analytics Updates
We’ve added new capabilities to help developers of embedded analytics do more and work faster, including:
CSV to Input Table
You’ve always been able to upload CSVs to Sigma, but we’re now letting you upload these files directly into Input Tables, Sigma’s write-back feature.
This means that you can immediately modify the data after you upload from a CSV, and, as always, write it back to the warehouse to use alongside your other cloud data.
Security and Admin
New controls for IT teams include:
- Customer-managed keys
- An Azure SQL database connection (coming soon!)
SQL Editor
At the fall launch, we also previewed new SQL functionality in Sigma.
Soon, a SQL user will be able to perform their analysis in Sigma the same way they would in a notebook: an element, like a cell, can be used for each of the incremental steps and transformations in analysis, chained together. They’ll be able to use SQL to reference any data available in Sigma—even analysis made through the spreadsheet UI.
Activate your data warehouse
Stop buying a new tool for every workflow. Build it once on governed data, then scale it across the business.