Google Cloud Platform Professional Data Engineer certification

Welcome to the GCP Professional Data Engineer certification resources library. If you are just starting your journey, we would recommend you to first thoroughly go through the official GCP Professional Data Engineer certification general information page and GCP Professional Data Engineer certification guide. Hopefully, this library (full of GCP related resources) will help you on your journey of obtaining the well-deserved certificate. 🔥 Feel free to add any resources which helped you to pursue your unique learning path. 🏄‍♂️

Available courses:

Course	Duration	Price	Free trial
Coursera (Google Cloud)	120 hours	$49/month	1 week
Linux Academy	20 hours	$49/month	1 week
Cloud Academy	15 hours	$49/month	1 week
WhizLabs	4 exams	$69.95/lifetime	20 questions
GCP practice exam	25 questions	Free	-

Blog posts on preparation/passing the exam:

• 📝  How I Passed the Google Cloud Professional Data Engineer Certification Exam
• 📝  How to prepare for the Google Cloud Data Engineer Certification
• 📝  Google Cloud Certified Professional Data Engineer - 2019 Updated exam
• 📝  The Ultimate Hack to passing Google Cloud Professional Data Engineer Certification Exam (2019 Oct)
• 📝  Notes from my Google Cloud Professional Data Engineer Exam
• 📝  GCP Professional Cloud Architect certification: tips and feedback
• 📝  Google Cloud Certified Professional - Data Engineer Track

Useful links to relevant exam topics:

• 📚  AI Platform prediction pricing
• 📚  Overview of current BigQuery Data Transfer Services and integrations
• 📚  Cloud Spanner best practice schema design
• 📚  Cloud Bigtable schema design overview
• 📚  GCP security best practices and summary
• 📚  Up to date quick summary about different databases
• 📚  How to avoid hotspotting in Bigtable
• 📚  Cloud SQL federated queries
• 📚  Understanding IAM roles (more high-level)
• 📚  Finding the right Cloud Spanner primary key
• 📹  Choosing between Cloud Run, Cloud Functions and App Engine
• 📹  Deciding between Compute Engine, Container Engine, App Engine and more

Helpful GCP resources on GitHub:

• 👩‍💻  Official GCP Data Analyst training code
• 👩‍💻  Google Data Engineering Cheatsheet

Cheatsheets:

• 🔖  Google Data Engineering Cheatsheet

Checklist of exam topics (make a copy of it and track your own progress):

• ☑  GCP Professional Certifications - Study Guides by Ivam Luz (in Google Sheets)

Contributing

Are we missing any new cool resource or course which would be relevant when studying for the exam or practicing real-life GCP use cases? Feel free to submit a pull request and contribute to this open-source knowledge sharing GCP DE database.