docs(connectors): update Looker Studio readmes for Columnar and Data API

- Change SDK language from JavaScript to Node.js in both readmes.
- Clarify prerequisites and instructions in the Columnar readme by removing references to Collections.
- Update the Data API readme to enhance clarity in SQL++ query descriptions and schema inference details.

Files:
- tutorial/markdown/connectors/looker-studio/dataapi/readme.md
- tutorial/markdown/connectors/looker-studio/columnar/readme.md

Author: teetangh

tutorial/markdown/connectors/looker-studio/columnar/readme.md

@@ -19,7 +19,7 @@ tags:
   - Connector
   - Views-only
 sdk_language:
-  - javascript
+  - nodejs
 length: 20 Mins
 ---
 
@@ -34,7 +34,7 @@ The connector authenticates with Basic Auth to the Columnar API (`/api/v1/reques
 ## Prerequisites
 
 - A Couchbase Columnar deployment reachable from Looker Studio.
-- A database user with permissions to read from the target Views/Collections and execute queries.
+- A database user with permissions to read from the target Views and execute queries.
 - Network access from Looker Studio to your Columnar host.
 
 ## Authentication
@@ -114,7 +114,7 @@ What runs:
 
 ## Next Steps
 
-- Build charts in Looker Studio using your View- or Collection-backed fields.
+- Build charts in Looker Studio using your View-backed fields.
 - Iterate on Views/queries to shape the dataset for analytics.
 
 

tutorial/markdown/connectors/looker-studio/dataapi/readme.md

@@ -19,7 +19,7 @@ tags:
   - Data API
   - Connector
 sdk_language:
-  - javascript
+  - nodejs
 length: 20 Mins
 ---
 
@@ -64,16 +64,16 @@ After authentication, choose a configuration mode:
 
 What runs:
 
-- Data: `SELECT RAW \`collection\` FROM \`bucket\`.\`scope\`.\`collection\` LIMIT <maxRows>`
+- Data: `SELECT RAW collection FROM \`bucket\`.\`scope\`.\`collection\` LIMIT <maxRows>`
 - Schema: `INFER \`bucket\`.\`scope\`.\`collection\` WITH {"sample_size": 100, "num_sample_values": 3, "similarity_metric": 0.6}`
 
 ### Mode: Use Custom Query
 
-- Custom N1QL Query: Paste any valid SQL++ statement. Include a `LIMIT` for performance.
+- Custom SQL++ Query: Paste any valid SQL++ statement. Include a `LIMIT` for performance.
 
 What runs:
 
-- Schema inference first attempts: `INFER (<yourQuery [LIMIT 100 if absent]>) WITH {"sample_size": 10000, "num_sample_values": 2, "similarity_metric": 0.1}`
+- Schema inference first attempts to run `INFER` on your query (a `LIMIT 100` is added if absent): `INFER (<yourQuery>) WITH {"sample_size": 10000, "num_sample_values": 2, "similarity_metric": 0.1}`
 - If that fails, it runs your query with `LIMIT 1` and infers the schema from one sample document.
 
 ## Schema and Field Types