Update quick-start, add in missing supported connections

Author: pflooky

docs/docs/connection.md

@@ -39,6 +39,7 @@ These configurations can be done via API or from configuration. Examples of both
 | Messaging        | Pulsar                             | :octicons-x-circle-fill-12:{ .red-cross } |
 | Metadata         | Data Contract CLI                  | :white_check_mark:                        |
 | Metadata         | Great Expectations                 | :white_check_mark:                        |
+| Metadata         | JSON Schema                        | :white_check_mark:                        |
 | Metadata         | Marquez                            | :white_check_mark:                        |
 | Metadata         | OpenMetadata                       | :white_check_mark:                        |
 | Metadata         | OpenAPI/Swagger                    | :white_check_mark:                        |

docs/docs/guide/data-source/metadata/json-schema.md

@@ -350,6 +350,7 @@ JSON Schema metadata source supports powerful field filtering capabilities to co
     1. Or use `Exclude Field Patterns` with regex patterns
 
 The field filtering options provide flexibility to:
+
 - **includeFields**: Only generate data for the specified field paths
 - **excludeFields**: Generate data for all fields except the specified ones
 - **includeFieldPatterns**: Include fields matching the regex patterns
@@ -439,7 +440,33 @@ Now we can run via the script `./run.sh` that is in the top level directory of t
 It should look something like this.
 
 ```json
-{"customer_direct_debit_initiation_v11":{"group_header":{"message_identification":"MSG001","creation_date_time":"2024-03-15T10:30:45Z","number_of_transactions":1,"control_sum":100.50,"initiating_party":{"name":"ACME Corp"}},"payment_information":{"payment_information_identification":"PMT001","payment_method":"DD","batch_booking":true,"direct_debit_transaction_information":{"payment_identification":{"end_to_end_identification":"TXN001"},"instructed_amount":{"value":100.50,"currency":"EUR"}}}}}
+{
+    "customer_direct_debit_initiation_v11": {
+        "group_header": {
+            "message_identification": "MSG001",
+            "creation_date_time": "2024-03-15T10:30:45Z",
+            "number_of_transactions": 1,
+            "control_sum": 100.50,
+            "initiating_party": {
+                "name": "ACME Corp"
+            }
+        },
+        "payment_information": {
+            "payment_information_identification": "PMT001",
+            "payment_method": "DD",
+            "batch_booking": true,
+            "direct_debit_transaction_information": {
+                "payment_identification": {
+                    "end_to_end_identification": "TXN001"
+                },
+                "instructed_amount": {
+                    "value": 100.50,
+                    "currency": "EUR"
+                }
+            }
+        }
+    }
+}
 ```
 
 Congratulations! You have now made a data generator that uses JSON Schema as a metadata source to generate realistic test data following your schema specifications.

docs/get-started/quick-start.md

@@ -6,14 +6,6 @@ image: "https://data.catering/diagrams/logo/data_catering_logo.svg"
 
 # Run Data Caterer
 
-## Get Token
-
-To run a trial of Data Caterer, you will need a username and token. Get one by following the below instructions.
-
-1. Join the Data Catering [Slack](https://join.slack.com/t/data-catering/shared_invite/zt-2664ylbpi-w3n7lWAO~PHeOG9Ujpm~~w)
-2. In any channel, type `/token` (the message will only be seen by you)
-3. Take note of your given `user-id` and `token` values (your token value will not be shown again as it is not stored anywhere)
-
 ## Quick start
 
 <div class="grid cards" markdown>
@@ -69,49 +61,51 @@ To run a trial of Data Caterer, you will need a username and token. Get one by f
 git clone git@github.com:data-catering/data-caterer-example.git
 cd data-caterer-example && ./run.sh
 #check results under docker/sample/report/index.html folder
+#If you want to run any other examples, check the class names under src/scala or src/java
+#And then run with ./run.sh <class_name>
+#i.e. ./run.sh CsvPlan
 ```
 
 ### YAML
 
 ```shell
 git clone git@github.com:data-catering/data-caterer-example.git
-cd data-caterer-example && ./run.sh
+cd data-caterer-example && ./run.sh simple-json.yaml
 #check results under docker/sample/report/index.html folder
 #check example YAML files under:
 # - docker/data/custom/plan
 # - docker/data/custom/task
 # - docker/data/custom/validation
+#If you want to run any other examples, check the files under docker/data/custom/plan
+#And then run with ./run.sh <file_name>
+#i.e. ./run.sh parquet.yaml
 ```
 
 ### Docker
 
 1. Docker
    ```shell
-   docker run -d -i -p 9898:9898 -e DEPLOY_MODE=standalone --name datacaterer datacatering/data-caterer:0.15.2
+   docker run -d -i -p 9898:9898 -e DEPLOY_MODE=standalone --name datacaterer datacatering/data-caterer:0.16.1
    ```
 2. [Open localhost:9898](http://localhost:9898)
-3. Login with the user and token given from [here](#get-token)
 
 ### Mac
 
-1. In any Slack channel, type `/download-mac` (the message will only be seen by you) and download from the link provided
-2. Drag Data Caterer to your Applications folder adn double-click to run
+1. [Mac download](https://nightly.link/data-catering/data-caterer/workflows/build/main/data-caterer-mac.zip)
+2. Drag Data Caterer to your Applications folder and double-click to run
 3. If your browser doesn't open, go to [http://localhost:9898](http://localhost:9898) in your preferred browser
-4. Login with the user and token given from [here](#get-token)
 
 ### Windows
 
-1. In any Slack channel, type `/download-windows` (the message will only be seen by you) and download from the link provided
+1. [Windows download](https://nightly.link/data-catering/data-caterer/workflows/build/main/data-caterer-windows.zip)
 2. Click on 'More info' then at the bottom, click 'Run anyway'
 3. Go to '/Program Files/DataCaterer' folder and run DataCaterer application
 4. If your browser doesn't open, go to [http://localhost:9898](http://localhost:9898) in your preferred browser
-5. Login with the user and token given from [here](#get-token)
 
 ### Linux
 
-1. In any Slack channel, type `/download-linux` (the message will only be seen by you) and download from the link provided
+1. [Linux download](https://nightly.link/data-catering/data-caterer/workflows/build/main/data-caterer-linux.zip)
 2. If your browser doesn't open, go to [http://localhost:9898](http://localhost:9898) in your preferred browser
-3. Login with the user and token given from [here](#get-token)
 
 #### Report