Merge pull request #1 from cube-js/workshop

updates for starting from free account

Author: tonykau1

.gitignore

@@ -34,4 +34,8 @@ lerna-debug.log*
 *~
 
 # OS generated files
-Thumbs.db
+Thumbs.db
+
+# Local Claude configuration
+CLAUDE.md.local
+*.claude.local

docs/d3-analytics/index.md

@@ -38,7 +38,7 @@ Because D3 operates on Cube's semantic layer, it ensures that all insights are a
 We'll run through a quick setup to get D3 working with your Cube instance.
 
 :::warning
-Cube D3 is currently in private preview and may have some limitations or errors as we iron out the experience.  Please report any issues you encounter to the Cube team - we appreciate your feedback!
+Cube D3 is currently in preview and may not be available to all users. If you don't see the D3 option in your Cube Cloud instance, please contact your Cube representative to inquire about enabling it.  Without D3 enabled, you won't be able to complete this module, but you can still follow along with the concepts and examples to see how Cube is delivering agentic analytics.
 :::
 
 In Cube Cloud:

docs/data-modeling/index.md

@@ -59,21 +59,6 @@ On the **Generated SQL** tab, the query is now much more complex as the joins tr
 
 ## Core Concepts
 
-### What We Skipped: Starting From Scratch
-
-In this workshop, we started with an existing data model to save time. When building a Cube project from scratch, you'd typically:
-
-1. **Use the Connection Wizard** - Cube guides you through connecting to your database
-2. **Select Tables** - Choose which tables to model from your database schema
-3. **Generate Initial Cubes** - Cube automatically creates a cube for each selected table with:
-   - Basic dimensions for each column
-   - A `count` measure
-   - Detected data types (string, number, time)
-4. **Infer Relationships** - Cube analyzes foreign keys and suggests join relationships
-5. **Refine and Customize** - Add business logic, custom measures, and meaningful descriptions
-
-This automated process gives you a solid foundation that you can then enhance with business-specific logic - exactly where we started in this workshop!
-
 ### Cubes (Data Models)
 
 A **Cube** represents a table or logical dataset. Cubes typically map 1-to-1 with tables in a star schema, but are also flexible.  For TPCH: