Temporarily set materializationProject and materializationDataset to get bq connector to create temp tables. (#222)

## Summary

https://app.asana.com/0/1208949807589885/1209143482009694

Debugging this during the early etsy integration
```
Caused by: java.lang.IllegalArgumentException: Provided dataset is null or empty
  at com.google.cloud.spark.bigquery.repackaged.com.google.common.base.Preconditions.checkArgument(Preconditions.java:143)
  at com.google.cloud.spark.bigquery.repackaged.com.google.cloud.bigquery.TableId.<init>(TableId.java:73)
  at com.google.cloud.spark.bigquery.repackaged.com.google.cloud.bigquery.TableId.of(TableId.java:82)
  at com.google.cloud.bigquery.connector.common.BigQueryClient.createTempTableId(BigQueryClient.java:263)
  at com.google.cloud.bigquery.connector.common.BigQueryClient.createTempTable(BigQueryClient.java:229)
  at com.google.cloud.bigquery.connector.common.BigQueryClient.createTempTableAfterCheckingSchema(BigQueryClient.java:253)
  at com.google.cloud.spark.bigquery.write.BigQueryWriteHelper.writeDataFrameToBigQuery(BigQueryWriteHelper.java:142)
  ... 66 more
```
I see that this error occurs at these [lines in the open source
connector
code](https://github.com/GoogleCloudDataproc/spark-bigquery-connector/blob/master/bigquery-connector-common/src/main/java/com/google/cloud/bigquery/connector/common/BigQueryClient.java#L258-L260):
```
   public TableId createTempTableId(TableId destinationTableId) {
    String tempProject = materializationProject.orElseGet(destinationTableId::getProject);
    String tempDataset = materializationDataset.orElseGet(destinationTableId::getDataset);
    String tableName = destinationTableId.getTable() + System.nanoTime();
    TableId tempTableId =
        tempProject == null
            ? TableId.of(tempDataset, tableName)
            : TableId.of(tempProject, tempDataset, tableName);
    return tempTableId;
  }
```
my hunch is that we're getting our error because
destinationTableId::getDataset is returning nothing. and
materializationDataset is a connector property we never set since it's
really for views (I think).

Just a theory.
to get past this weird error, i know we can actually set the connector
properties materializationProject and materializationDataset
https://github.com/GoogleCloudDataproc/spark-bigquery-connector?tab=readme-ov-file#properties
so I did so in additional-confs-dev.yaml and reran the groupby backfill
job with it:
[dataproc
job](https://console.cloud.google.com/dataproc/jobs/b7ebcff7-007f-43e4-9979-211803e9c700/configuration?region=us-central1&inv=1&invt=AbmqZQ&project=canary-443022)

```
Writing to BigQuery. options: Map(project -> canary-443022, writeMethod -> indirect, spark.sql.sources.partitionOverwriteMode -> DYNAMIC, partitionField -> ds, materializationDataset -> data, dataset -> data, materializationProject -> canary-443022, temporaryGcsBucket -> zl-warehouse)
```
and now i'm able to consistently get past this error Provided dataset is
null or empty and "massage" the connector into just creating the temp
table

## Checklist
- [ ] Added Unit Tests
- [ ] Covered by existing CI
- [ ] Integration tested
- [ ] Documentation update



<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->

## Summary by CodeRabbit

- **Configuration Updates**
- Added new Google Cloud Storage configuration properties for Chronon
integration
	- Specified output dataset and project details for data materialization

<!-- end of auto-generated comment: release notes by coderabbit.ai -->

Author: david-zlai

cloud_gcp/src/main/resources/additional-confs.yaml

@@ -1,3 +1,5 @@
 spark.chronon.table.format_provider.class: "ai.chronon.integrations.cloud_gcp.GcpFormatProvider"
 spark.chronon.partition.format: "yyyy-MM-dd"
-spark.chronon.table.gcs.temporary_gcs_bucket: "zl-warehouse"
+spark.chronon.table.gcs.temporary_gcs_bucket: "zl-warehouse"
+spark.chronon.table.gcs.connector_output_dataset: "data"
+spark.chronon.table.gcs.connector_output_project: "canary-443022"

cloud_gcp/src/main/scala/ai/chronon/integrations/cloud_gcp/GcpFormatProvider.scala

@@ -43,7 +43,9 @@ case class GcpFormatProvider(sparkSession: SparkSession) extends FormatProvider
     val sparkOptions: Map[String, String] = Map(
       // todo(tchow): No longer needed after https://github.com/GoogleCloudDataproc/spark-bigquery-connector/pull/1320
       "temporaryGcsBucket" -> sparkSession.conf.get("spark.chronon.table.gcs.temporary_gcs_bucket"),
-      "writeMethod" -> "indirect"
+      "writeMethod" -> "indirect",
+      "materializationProject" -> sparkSession.conf.get("spark.chronon.table.gcs.connector_output_project"),
+      "materializationDataset" -> sparkSession.conf.get("spark.chronon.table.gcs.connector_output_dataset")
     ) ++ partitionColumnOption
 
     BigQueryFormat(tableId.getProject, sparkOptions)