feat(bigquery): fetch bigquery dataset (datahub container) description #30993

Job	Run time
setup	18s
Build and Push DataHub GMS Docker Image	0s
Build and Push DataHub MCE Consumer Docker Image	0s
Build and Push DataHub MAE Consumer Docker Image	0s
Build and Push DataHub Upgrade Docker Image	0s
Build and Push DataHub Kafka Setup Docker Image	0s
Build and Push DataHub MySQL Setup Docker Image	0s
Build and Push DataHub Ingestion (Base) Docker Image	33s
Build and Push DataHub Elasticsearch Setup Docker Image	0s
smoke_test_matrix	1s
Build and Push DataHub Frontend Docker Image	0s
[Monitoring] Scan MAE consumer images for vulnerabilities	0s
[Monitoring] Scan MCE consumer images for vulnerabilities	0s
[Monitoring] Scan Kafka Setup images for vulnerabilities	0s
[Monitoring] Scan DataHub Upgrade images for vulnerabilities	0s
[Monitoring] Scan GMS images for vulnerabilities	0s
[Monitoring] Scan MySQL Setup images for vulnerabilities	0s
[Monitoring] Scan ElasticSearch setup images for vulnerabilities	0s
[Monitoring] Scan Frontend images for vulnerabilities	0s
Build and Push DataHub Ingestion (Base-Full) Docker Image	1m 19s
Build and Push DataHub Ingestion (Base-Slim) Docker Image	29s
Build and Push DataHub Ingestion Docker Images	3m 6s
Build and Push DataHub Ingestion (Full) Docker Images	5m 29s
[Monitoring] Scan Datahub Ingestion Slim images for vulnerabilities	2m 51s
Run Smoke Tests (pytests, 0, 3)	19m 1s
Run Smoke Tests (pytests, 3, 1)	45m 8s
Run Smoke Tests (pytests, 3, 2)	26m 40s
[Monitoring] Scan Datahub Ingestion images for vulnerabilities	4m 26s
Deploy to Datahub HEAD	0s
	1h 49m 21s

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