Google Cloud Data Engineer Professional certified!

 
4 Kudos
Don't
move!

One more GCP certification on the list! This one was by far the most interesting one in a while as it gave me a chance to review topics that I don’t work with every day: Machine learning and Big data.

Let’s dive right in, here is the preparation I followed. To begin with the online classes:

Read Google official documentation about the services in the scope of this exam:

  • Cloud Storage, Google Transfer appliance
  • Cloud SQL, Cloud Bigtable, Cloud Bigquery, Datastore
  • Pub/Sub, Dataflow, Dataprep, Datastudio, Datalab
  • Stackdriver, KMS, Machine Learning and its API

Then jump on the Google Next videos:

You can review case studies but don’t spend too much time on them. There is now a practice exam for the Data Engineer, quite similar to the type of questions you can find in the real exam:

https://cloud.google.com/certification/practice-exam/data-engineer

My feedback on the exam:

  • Check the scope of this exam, be prepared for design questions on database models, optimization and troubleshooting
  • Know Bigquery VS Bigtable VS Datastore VS Cloud SQL
  • Dataflow and how to deal with batch and stream processing
  • Read as much as you can and play with machine learning!
  • How to share datasets, queries, reports is really something that comes often, don’t underestimate security aspects
  • Understand Hadoop ecosystem, learn about the typical big data lifecycle on GCP

Good luck to everyone taking this exam!