1. Create an external table over the JSON data in cloud storage.2. Create a task that runs every 5 minutes to run a transformation procedure on new data, based on a saved timestamp.3. Ask the vendor to expose an API so an external function can be used to generate a call to join the data back to the loT data in the transformation procedure.4. Give the transformed table access to the dashboard tool.5. Perform the aggregations on the dashboard

1. Create an external table over the JSON data in cloud storage.2. Create a task that runs every 5 minutes to run a transformation procedure on new data based on a saved timestamp.3. Ask the vendor to create a data share with the required data that can be imported into the company's Snowflake account.4. Join the vendor's data back to the loT data using a transformation procedure.5. Create views over the larger dataset to perform the aggrega

1. Create a Snowpipe to bring the JSON data into Snowflake.2. Use streams and tasks to trigger a transformation procedure when new JSON data arrives.3. Ask the vendor to expose an API so an external function call can be made to join the vendor's data back to the loT data in a transformation procedure.4. Create materialized views over the larger dataset to perform the aggregations required by the dashboard.5. Give the materialized views acce

1. Create a Snowpipe to bring the JSON data into Snowflake.2. Use streams and tasks to trigger a transformation procedure when new JSON data arrives.3. Ask the vendor to create a data share with the required data that is then imported into the Snowflake account.4. Join the vendor's data back to the loT data in a transformation procedure5. Create materialized views over the larger dataset to perform the aggregations required by the dashboard