📋 GCP Data Engineering Cheat Sheet

Quick reference for GCP data engineering services.

Why This Cheat Sheet Matters for PDE

This cheat sheet covers the most important Data & Analytics concepts tested on the PDE (Data Engineer) certification exam. It contains 1 sections with 8 key points. Use this as a quick-reference guide during your final review sessions.

1Sections
8Key Points

Service Selection

  • Streaming ingestion → Pub/Sub + Dataflow.
  • Batch ETL → Dataflow or Dataproc.
  • Data warehouse → BigQuery.
  • Data lake → Cloud Storage.
  • Time-series / IoT → Bigtable.
  • Visual ETL → Cloud Data Fusion.
  • Orchestration → Cloud Composer (Airflow).
  • ML in SQL → BigQuery ML.

Practice Data & Analytics Questions

Put your knowledge to the test with practice questions.

Google Cloud Service Quick Reference

GCP organises services around Compute (GCE, GKE, Cloud Run, App Engine, Cloud Functions), Storage (Cloud Storage, Persistent Disk, Filestore), Databases (Cloud SQL, Spanner, Firestore, Bigtable, BigQuery), and Networking (VPC, Cloud Load Balancing, Cloud CDN, Cloud Interconnect). Knowing which service fits each use case is essential for passing GCP exams.

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