Snowflake: Logical Models

## Feature Description
Introducing Logical Models: A Powerful New Feature Coming Soon to Hasura for Snowflake
_Level up your Hasura experience with Logical Models to create custom GraphQL types without the need for database views or functions._

Hello Hasura enthusiasts!

We're excited to announce a powerful new feature coming soon to Hasura for Snowflake users: Logical Models. This feature will enable you to define custom GraphQL types that don't directly map to a database object, giving you more flexibility and control over your Hasura-generated GraphQL schema. With Logical Models, you'll be able to harness the full power of SQL within Hasura without the need to create database objects that require DDL privileges.

## What are Logical Models?
Logical Models are a new Hasura GraphQL type that doesn't mirror a concrete database object. Instead, when creating a Logical Model, you define native SQL queries to use as a model and map that model to a Hasura GraphQL type. You can also parameterize these queries to pass arguments, allowing you to create custom and dynamic GraphQL types that suit your specific needs.

## Current status (design, alpha, beta etc.)
- In the hopper

## Resources (e.g. RFCs)
The motivation and design of this feature came in part from the RFC for Parameterized Queries.
[rfc (wip): parameterized queries #7473](https://github.com/hasura/graphql-engine/issues/7473)

No implementation files, tests, or entry points are identified in the issue. Start by reading the linked Parameterized Queries RFC (#7473) and clarify the Logical Models design and scope for Snowflake; the work is done when an agreed implementation plan and acceptance criteria exist.

Written by the indexing model from the issue text.