FEATURE - BigQuery support for iceberg materialisations

[borjavb]

resolves dbt-labs/dbt-adapters#533

Problem

Bigquery has now support for native iceberg tables as a new type of materialisation.

Solution

Very naive approximation on how this could look like. We support both incrementality + the desired table format.

{{ config(
    materialized="incremental",
    table_format="iceberg",
    base_location = "location",
    bl_connection = "biglake_connection"
)
}}

bl_connection could be a config a dbt_project level.

Testing is not possible for now because we would need to create all the connections and everything in the dbt enviroment for CI/CD

Checklist

• I have read the contributing guide and understand what's expected of me
• I have run this code in development and it appears to resolve the stated issue
• This PR includes tests, or tests are not required/relevant for this PR
• This PR has no interface changes (e.g. macros, cli, logs, json artifacts, config files, adapter interface, etc) or this PR has already received feedback and approval from Product or DX

[vrishin-bolt]

When are we planning to merge this to prod?

[borjavb]

When are we planning to merge this to prod?

@vrishin-bolt We've moved this to an internal dbt more scoped PR with the new catalog definition... So I don't think this one will be merged. However, given how it has been rolled out for snowflake, the user interface of the parameters will be very similar to what is being pushed in this PR

[github-actions]

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