Build with Sigma Assistant QuickStart + Fundamentals 1 AI section revision

site/sigmaguides/src/aiapps_approvals_flow/aiapps_approvals_flow.md

@@ -6,7 +6,7 @@ environments: web
 status: Published
 feedback link: https://github.com/sigmacomputing/sigmaquickstarts/issues
 tags: Default
-lastUpdated: 2025-01-16
+lastUpdated: 2026-07-16
 
 # Approvals
 
@@ -540,6 +540,10 @@ Configure it as shown:
 
 <img src="assets/af-43.png" width="600"/>
 
+<aside class="positive">
+<strong>NOTE:</strong><br> <code>Selection</code> in the condition refers to the row the action is evaluating — it is not the table name. When you reference a column value in a condition formula, use <code>Selection/{Column Name}</code> in place of the table name. This ensures the condition checks the specific row being acted on, rather than the entire table. Keep this in mind when writing your own custom conditions.
+</aside>
+
 Since there are no rows with any status, the `Adjuster Modal` should still appear when `EDIT` is clicked. That is expected.
 
 Now we can create the `Approver Modal`. This is very much a repeat of how we created the `Adjuster Modal`, tweaked for rejections and so forth.

site/sigmaguides/src/partners_google_big_query/partners_google_big_query.md

@@ -6,7 +6,7 @@ environments: web
 status: Published
 feedback link: https://github.com/sigmacomputing/sigmaquickstarts/issues
 tags: default
-lastUpdated: 2025-11-17
+lastUpdated: 2026-07-17
 
 # Google BigQuery with Sigma
 <!-- The above name is what appears on the website and is searchable. -->
@@ -337,14 +337,13 @@ Duration: 20
 There is a wide range of benefits by opting for a modern data analysis and visualization stack.
 
 These include:
- <ul>
-      <li>Faster time to value for analytics with BigQuery's near-unlimited scaling and processing capabilities, so decisions can be made faster.</li>
-      <li>High user retention and engagement by giving users an interface they intuitively understand, the spreadsheet.</li>
-      <li>Engage users in the modeling and exploratory process of data analysis. In Sigma, users can ask questions of the data just like they would in Google Sheets, but at the scale of your data. Work with millions or even billions of rows of data.</li>
-      <li>Get started with Sigma in a flash! Once you've established a connection from BigQuery to Sigma any user can work with permitted tables immediately. Ask questions, build visualizations, and create reports in a fraction of the time of other tools.</li>
-      <li>Harness the power of BigQuery in Sigma by effectively working with your data at scale. Sigma issues live queries rather than working off extracts. This ensures your data is always live and up-to-date.</li>
-      <li>Access BigQuery user-defined functions directly in Sigma to ensure even the most complex functions are available to your entire organization.</li>
-</ul>
+
+- Faster time to value for analytics with BigQuery's near-unlimited scaling and processing capabilities, so decisions can be made faster.
+- High user retention and engagement by giving users an interface they intuitively understand, the spreadsheet.
+- Engage users in the modeling and exploratory process of data analysis. In Sigma, users can ask questions of the data just like they would in Google Sheets, but at the scale of your data. Work with millions or even billions of rows of data.
+- Get started with Sigma in a flash! Once you've established a connection from BigQuery to Sigma any user can work with permitted tables immediately. Ask questions, build visualizations, and create reports in a fraction of the time of other tools.
+- Harness the power of BigQuery in Sigma by effectively working with your data at scale. Sigma issues live queries rather than working off extracts. This ensures your data is always live and up-to-date.
+- Access BigQuery user-defined functions directly in Sigma to ensure even the most complex functions are available to your entire organization.
 
 ![Footer](assets/sigma_footer.png)
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