### Apache Airflow version

main (development)

### What happened

1. When not providing `project_id` to `BigQueryGetDataOperator` in deferrable mode (`project_id=None`), the query generated by `generate_query` method is bugged, i.e.,: 

````sql
from `None.DATASET.TABLE_ID` limit ...
````

2. `as_dict` param does not work `BigQueryGetDataOperator`.

### What you think should happen instead

1. When `project_id` is `None` - it should be removed from the query along with the trailing dot, i.e.,:

````sql
from `DATASET.TABLE_ID` limit ...
````

2. `as_dict` should be added to the serialization method of `BigQueryGetDataTrigger`.

### How to reproduce

1. Create a DAG file with `BigQueryGetDataOperator` defined as follows:
```python
BigQueryGetDataOperator(
        task_id="bq_get_data_op",
        # project_id="PROJECT_ID",  <-- Not provided
        dataset_id="DATASET",
        table_id="TABLE",
        use_legacy_sql=False,
        deferrable=True
    )
````

2. 1. Create a DAG file with `BigQueryGetDataOperator` defined as follows:
```python
BigQueryGetDataOperator(
        task_id="bq_get_data_op",
        project_id="PROJECT_ID",
        dataset_id="DATASET",
        table_id="TABLE",
        use_legacy_sql=False,
        deferrable=True,
        as_dict=True
    )
````

### Operating System

Debian

### Versions of Apache Airflow Providers

_No response_

### Deployment

Official Apache Airflow Helm Chart

### Deployment details

_No response_

### Anything else

The `generate_query` method is not unit tested (which would have prevented it in the first place) - will be better to add one.

### Are you willing to submit PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

context["ti"].xcom_push(key="job_id", value=job.job_id)
        records = job.result().to_dataframe()
        if records.empty:
            raise AirflowException(f"The following query returned zero rows: {self.sql}")
        records.columns = records.columns.str.lower()
        self.log.info("Record: %s", records)
        for row in records.iterrows():
            column = row[1].get("col_name")
            check = row[1].get("check_type")
            result = row[1].get("check_result")
            tolerance = self.column_mapping[column][check].get("tolerance")
            self.column_mapping[column][check]["result"] = result
            self.column_mapping[column][check]["success"] = self._get_match(
                self.column_mapping[column][check], result, tolerance
            )
        failed_tests.extend(
            f"Column: {col}\n\tCheck: {check},\n\tCheck Values: {check_values}\n"
            for col, checks in self.column_mapping.items()
            for check, check_values in checks.items()
            if not check_values["success"]
        )
        if failed_tests:
            exception_string = (
                f"Test failed.\nResults:\n{records!s}\n"
                f"The following tests have failed:"
                f"\n{''.join(failed_tests)}"
            )
            self._raise_exception(exception_string)
        self.log.info("All tests have passed")
class BigQueryTableCheckOperator(_BigQueryDbHookMixin, SQLTableCheckOperator):