feat(ingestion/transformer): Add dataset dataproduct transformer (#9491) #9

Job	Run time
setup	4s
Build and Push DataHub MAE Consumer Docker Image	3m 17s
Build and Push DataHub MCE Consumer Docker Image	3m 7s
Build and Push DataHub Upgrade Docker Image	3m 24s
Build and Push DataHub Ingestion (Base) Docker Image	8s
Build and Push DataHub Elasticsearch Setup Docker Image	17s
Build and Push DataHub Frontend Docker Image	7m 22s
Build and Push DataHub GMS Docker Image	3m 24s
Build and Push DataHub MySQL Setup Docker Image	24s
Build and Push DataHub Kafka Setup Docker Image	2m 30s
Build and Push DataHub Ingestion (Base-Full) Docker Image	18s
Build and Push DataHub Ingestion (Base-Slim) Docker Image	9s
[Monitoring] Scan MAE consumer images for vulnerabilities	12s
[Monitoring] Scan MCE consumer images for vulnerabilities	12s
Build and Push DataHub Ingestion (Full) Docker Images	11m 47s
Build and Push DataHub Ingestion Docker Images	8m 16s
[Monitoring] Scan DataHub Upgrade images for vulnerabilities	13s
[Monitoring] Scan GMS images for vulnerabilities	14s
[Monitoring] Scan Frontend images for vulnerabilities	14s
[Monitoring] Scan Datahub Ingestion Slim images for vulnerabilities	1m 2s
Run Smoke Tests (no_cypress_suite0)	2m 51s
Run Smoke Tests (no_cypress_suite1)	3m 5s
Run Smoke Tests (cypress_suite1)	3m 29s
Run Smoke Tests (cypress_rest)	2m 25s
[Monitoring] Scan Datahub Ingestion images for vulnerabilities	1m 0s
Deploy to Datahub HEAD	0s
	59m 24s

Provide feedback