### Description

#27647 has introduced filtering for invalid schemas in Hive hook based on the characters `;` and `!`. I'm wondering if a more generic filtering could be introduced, e.g. one that adheres to the regex `[^a-z0-9_]`, since Hive schemas (and table names) can only contain alphanumeric characters and the character `_`.

Note: since the Hive metastore [stores schemas and tables in lowercase](https://stackoverflow.com/questions/57181316/how-to-keep-column-names-in-camel-case-in-hive/57183048#57183048), checking against `[^a-z0-9_]` is probably better than `[^a-zA-Z0-9_]`.

### Use case/motivation

Ensure that Hive schemas used in `apache-airflow-providers-apache-hive` hooks contain no invalid characters.

### Related issues

_No response_

### Are you willing to submit a 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)

df = pd.DataFrame({"c": ["foo", "bar", "baz"]})
        table = "t"
        delimiter = ","
        encoding = "utf-8"
        hook = MockHiveCliHook()
        hook.load_df(df=df, table=table, delimiter=delimiter, encoding=encoding)
        assert mock_to_csv.call_count == 1
        kwargs = mock_to_csv.call_args[1]
        assert kwargs["header"] is False
        assert kwargs["index"] is False
        assert kwargs["sep"] == delimiter
        assert mock_load_file.call_count == 1
        kwargs = mock_load_file.call_args[1]
        assert kwargs["delimiter"] == delimiter
        assert kwargs["field_dict"] == {"c": "STRING"}
        assert isinstance(kwargs["field_dict"], OrderedDict)
        assert kwargs["table"] == table
    @mock.patch("airflow.providers.apache.hive.hooks.hive.HiveCliHook.load_file")
    @mock.patch("pandas.DataFrame.to_csv")
    def test_load_df_with_optional_parameters(self, mock_to_csv, mock_load_file):