docs: updated readme for all the connectors

connectors/aws-s3/README.md

@@ -26,7 +26,7 @@ connections:
         access_key_id: {{YOUR_ACCESS_KEY}}
         secret_access_key: {{YOUR_SECRET_KEY}}
         region: {{YOUR_REGION}}
-        bucket_name: aws-s3-sample-stock-data-dozer
+        bucket_name: dozer-samples
       tables:
         - !Table
           name: stocks
@@ -39,7 +39,7 @@ connections:
 3. **Running Dozer**: Start Dozer by running the following command in the terminal:
 
    ```bash
-   dozer -c dozer-config.yaml
+   dozer run -c dozer-config.yaml
    ```
 
 4. **Querying the Dozer APIs**: Query the Dozer endpoints to get the results of your SQL queries. You can query the cache using gRPC or REST.
@@ -74,7 +74,7 @@ dozer cloud deploy -s AWS_ACCESS_KEY=$AWS_ACCESS_KEY -s AWS_SECRET_KEY=$AWS_SECR
 ## Querying data
 
 ```bash
-curl -H "X-Dozer-App-Id: <app-id" -H "Authorization: Bearer <bearer-token>" https://dataW.getdozer.io:443  ```
+curl -H "X-Dozer-App-Id: <app-id" -H "Authorization: Bearer <bearer-token>" https://data.getdozer.io:443  ```
 
 ## Additional Information
 

connectors/mongodb/README.md

@@ -4,10 +4,12 @@ This README provides instructions for setting up a Mongo DB instance and loading
 
 ## Prerequisites
 
-1. Log into MongoDB Atlas and create a new cluster. You can follow the instructions [here](https://docs.atlas.mongodb.com/tutorial/create-new-cluster/).
-2. Load the sample data into the cluster. You can follow the instructions [here](https://www.mongodb.com/docs/atlas/sample-data/sample-analytics/).
-3. Allow access to the cluster from anywhere. You can follow the instructions [here](https://docs.atlas.mongodb.com/security/ip-access-list/).
-4. Setup Dozer with MongoDB enabled. You can follow the instructions 
+1. Create a MongoDB account by visiting the [MongoDB website](https://www.mongodb.com/cloud/atlas) and signing up for an account.
+2. Once logged in, navigate to the MongoDB web interface to create a new project.
+3. Load the sample data into the cluster. You can follow the instructions [here](https://www.mongodb.com/docs/atlas/sample-data/sample-analytics/).
+4. Allow access to the cluster from anywhere. You can follow the instructions [here](https://docs.atlas.mongodb.com/security/ip-access-list/).
+5. Grab the connection string from the cluster. You can follow the instructions [here](https://docs.atlas.mongodb.com/tutorial/connect-to-your-cluster/).
+6. Setup Dozer with MongoDB enabled. You can follow the instructions 
 ```bash
 cargo install --path dozer-cli --features mongodb --locked
 ```
@@ -16,6 +18,25 @@ cargo install --path dozer-cli --features mongodb --locked
 
 1. Running dozer with the following command in the terminal:
 ```bash
-dozer run --enable-progress
+dozer run
 ```
 
+## Dozer Cloud
+
+### To validate your config file before deploying
+
+```bash
+dozer build
+```
+
+### To deploy your config file
+
+```bash
+dozer cloud`deploy -c dozer-config.yaml 
+```
+
+### To use environment variables in the config file
+
+```bash
+dozer cloud deploy -s MONGODB_CONNECTION_STRING
+```

connectors/mysql/README.md

@@ -226,19 +226,23 @@ For more about gRPC in Dozer, see [Using gRPC APIs](https://getdozer.io/docs/que
 2. Pass in the credentials in the config file
 3. Run the following command to deploy the app on Dozer Cloud
 
+
+
+### Validate the Config file before deploying
+
 ```bash
-dozer cloud deploy
+dozer build
 ```
 
 ### Deploy with environment variables
 
 ```bash
- dozer cloud deploy -s EC2_INSTANCE_DNS=$EC2_INSTANCE_DNS 
+ dozer cloud deploy -s MYSQL_URL 
  ```
 
 
 ##  Query data on cloud
 
 ```bash
-curl -H "X-Dozer-App-Id: <app-id" -H "Authorization: Bearer <bearer-token>" https://dataW.getdozer.io:443
+curl -H "X-Dozer-App-Id: <app-id" -H "Authorization: Bearer <bearer-token>" https://data.getdozer.io:443
 ```

connectors/postgres/README.md

@@ -96,14 +96,22 @@ To deploy Dozer on the cloud, you can use the following steps:
 3. Put the details in the `dozer-config.yaml` file
 4. Run the following command to start Dozer:
 
+
+### Validate the Config file before deploying
+
+```bash
+dozer build
+```
+
+
 To use environment variables while deploying
+
 ```bash
 dozer cloud deploy -s POSTGRES_HOST=$POSTGRES_HOST -s POSTGRES_USER=$POSTGRES_USER -s POSTGRES_PASSWORD=$POSTGRES_PASSWORD -s POSTGRES_DATABASE=$POSTGRES_DATABASE
 ```
 
 4. To query the data
 
 ```bash
-curl -H "X-Dozer-App-Id: <app-id" -H "Authorization: Bearer <bearer-token>" https://dataW.getdozer.io:443
-```
-
+curl -H "X-Dozer-App-Id: <app-id" -H "Authorization: Bearer <bearer-token>" https://data.getdozer.io:443
+```

connectors/snowflake/README.md

@@ -14,6 +14,14 @@ export SN_ROLE=
 
 ## Dozer Cloud
 
+### Validate the Config file before deploying
+
+```bash
+dozer build
+```
+
+### To deploy
+
 ```bash
 dozer cloud deploy
 ```

connectors/supabase/README.md

@@ -26,8 +26,10 @@ That's all to it. This process will run `dozer app` and `dozer api` server separ
 4. Run the following command to deploy the app on Dozer Cloud
 
 
+### To validate your config file before deploying
+
 ```bash
-dozer cloud deploy
+dozer build
 ```
 
 ### Deploy with environment variables