Hello, everyone. It's Gaby again.
Here with my summary of some important points on Pub/Sub and Dataproc:
Reference Sources
1. Pub/Sub Documentations at Google Cloud https://cloud.google.com/pubsub/docs/resources
2. Dataproc Documentations at Google Cloud https://cloud.google.com/dataproc/docs/resources
3. Data Engineering with Google Cloud Professional Certificate at Coursera https://www.coursera.org/professional-certificates/gcp-data-engineering?
4. Data Engineer Certification Exam Guide at Google Cloud https://cloud.google.com/certification/guides/data-engineer
5. Subscriber Overview at Google Cloud https://cloud.google.com/pubsub/docs/subscriber
6. Pubsub Message at Google Cloud https://cloud.google.com/pubsub/docs/reference/rest/v1/PubsubMessage
7. Scaling Clusters at Google Cloud https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/scaling-clusters
8. Migrating Hadoop Jobs from On-Premises to Dataproc at Google Cloud https://cloud.google.com/solutions/migration/hadoop/hadoop-gcp-migration-jobs
9. Migrating On-Premises Hadoop Infrastructure to Google Cloud at Google Cloud https://cloud.google.com/solutions/migration/hadoop/hadoop-gcp-migration-overview
10. Migrating HDFS Data from On-Premises to Google Cloud at Google Cloud https://cloud.google.com/solutions/migration/hadoop/hadoop-gcp-migration-data
11. Google Cloud Professional Data Engineer Practice Test at Udemy https://www.udemy.com/course/google-cloud-professional-data-engineer/
12. Google Professional Data Engineer (GCP) Practice Exam at TestPrep https://www.testpreptraining.com/certified-professional-data-engineer-practice-exam
Message or email me if you have any further questions. I will be happy to share my experience with you!
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