docs: fix mintlify nav and dynamic models page (cube-js#10766)

* docs: fix Mintlify nav links and Dynamic Data Models page

- Remove SQL Runner from the Data Modeling sidebar
- Fix broken "Migrate from Cube Core" nav entries (point to the actual
  *-via-ssh filenames)
- Rewrite docs/data-modeling/dynamic/index.mdx: drop stray plain-text
  heading, switch oversized image cards to compact icon cards with
  descriptions, and frame the architecture diagrams under their own
  heading

Made-with: Cursor

* docs: drop deployment-tier mentions from feature pages

Remove the "Also requires the M deployment tier" note from DAX API,
MDX API, Power BI Kerberos, and Power BI NTLM pages. Drop the
"choose a deployment tier" pointer from the Production deployment
type. Reroute the Environments cost links to the pricing page root
instead of the deployment-tiers anchor.

The pricing page itself still defines deployment tiers; that's a
separate edit pending direction on how to restructure the cost
examples.

Made-with: Cursor

Author: keydunov

docs-mintlify/admin/deployment/deployment-types.mdx

@@ -54,7 +54,6 @@ You can try a Development deployment by
 <Info>
 
 Available on [all paid plans](https://cube.dev/pricing).
-You can also choose a [deployment tier](/admin/account-billing/pricing#deployment-tiers).
 
 </Info>
 

docs-mintlify/admin/deployment/environments.mdx

@@ -115,7 +115,7 @@ credentials**][ref-credentials].
 [ref-dev-mode]: /docs/data-modeling/dev-mode
 [ref-deployment-types]: /docs/deployment/cloud/deployment-types
 [ref-api-instance-scalability]: /docs/deployment/cloud/scalability#auto-scaling-of-api-instances
-[ref-pricing-deployment-tiers]: /admin/account-billing/pricing#deployment-tiers
+[ref-pricing-deployment-tiers]: /admin/account-billing/pricing
 [ref-suspend]: /docs/deployment/cloud/auto-suspension
 [ref-overview]: /docs/workspace/integrations#review-integrations
 [ref-credentials]: /docs/workspace/integrations#view-api-credentials

docs-mintlify/docs.json

@@ -37,7 +37,6 @@
               {
                 "group": "Migrate from Cube Core",
                 "pages": [
-                  "docs/getting-started/migrate-from-core",
                   "docs/getting-started/migrate-from-core/upload-with-cli",
                   "docs/getting-started/migrate-from-core/import-github-repository",
                   "docs/getting-started/migrate-from-core/import-gitlab-repository-via-ssh",
@@ -166,8 +165,8 @@
 
               {
                 "group": "Dynamic Data Models",
+                "root": "docs/data-modeling/dynamic/index",
                 "pages": [
-                  "docs/data-modeling/dynamic",
                   "docs/data-modeling/dynamic/jinja",
                   "docs/data-modeling/dynamic/javascript",
                   "docs/data-modeling/dynamic/code-reusability-export-and-import",
@@ -179,8 +178,7 @@
                 "pages": [
                   "docs/data-modeling/visual-modeler",
                   "docs/data-modeling/data-model-ide",
-                  "docs/data-modeling/dev-mode",
-                  "docs/data-modeling/sql-runner"
+                  "docs/data-modeling/dev-mode"
                 ]
               }
             ]

docs-mintlify/docs/data-modeling/dynamic/index.mdx

@@ -3,19 +3,32 @@ title: Dynamic Data Models
 description: Generate data models programmatically using Jinja with Python or JavaScript for dynamic schema creation.
 ---
 
- Dynamic data models
+Cube supports authoring data models dynamically — useful for de-duplicating
+common patterns across cubes, generating models from a remote source, or
+adapting the schema per tenant at runtime.
 
-<Frame>
+Pick the approach that matches the language your data models are written in:
+
+<CardGroup cols={2}>
+  <Card title="Jinja & Python" icon="brand-python" href="/docs/data-modeling/dynamic/jinja">
+    Template YAML data models with Jinja, and use Python for loops, includes,
+    and runtime generation.
+  </Card>
+  <Card title="JavaScript" icon="brand-javascript" href="/docs/data-modeling/dynamic/javascript">
+    Generate cubes and views on-the-fly from JavaScript data models using
+    `asyncModule()`.
+  </Card>
+</CardGroup>
+
+## How it fits together
+
+The diagrams below show how YAML and JavaScript data models are parsed and
+compiled before they're served by Cube.
+
+<Frame caption="YAML data models compiled with COMPILE_CONTEXT">
   <img src="https://ucarecdn.com/44e17cc4-60cb-40c4-889b-aba17def7136/" />
 </Frame>
 
-<Frame>
+<Frame caption="JavaScript data models compiled with COMPILE_CONTEXT">
   <img src="https://ucarecdn.com/7379561c-418e-49e2-9b94-be7c13b0f2de/" />
 </Frame>
-
-<CardGroup cols={2}>
-  <Card title="Jinja & Python" img="https://static.cube.dev/icons/python.svg" href="dynamic/jinja">
-  </Card>
-  <Card title="JavaScript" img="https://static.cube.dev/icons/javascript.svg" href="dynamic/javascript">
-  </Card>
-</CardGroup>

docs-mintlify/docs/getting-started/migrate-from-core/index.mdx

@@ -9,7 +9,6 @@ It can be used to authenticate requests to [DAX API][ref-dax-api].
 <Info>
 
 Available on [Enterprise and above plans](https://cube.dev/pricing).
-Also requires the M [deployment tier](/admin/account-billing/pricing#deployment-tiers).
 
 </Info>
 

docs-mintlify/docs/integrations/power-bi/kerberos.mdx

@@ -9,7 +9,6 @@ authenticate requests to [DAX API][ref-dax-api].
 <Info>
 
 Available on [Enterprise and above plans](https://cube.dev/pricing).
-Also requires the M [deployment tier](/admin/account-billing/pricing#deployment-tiers).
 
 </Info>
 

docs-mintlify/docs/integrations/power-bi/ntlm.mdx

@@ -15,7 +15,6 @@ support for Power BI features.
 <Info>
 
 Available on [Enterprise and above plans](https://cube.dev/pricing).
-Also requires the M [deployment tier](/admin/account-billing/pricing#deployment-tiers).
 
 </Info>
 

docs-mintlify/reference/core-data-apis/dax-api/index.mdx

@@ -14,7 +14,6 @@ native [PivotTable][link-pivottable] in Excel.
 <Info>
 
 Available on [Enterprise and above plans](https://cube.dev/pricing).
-Also requires the M [deployment tier](/admin/account-billing/pricing#deployment-tiers).
 
 </Info>