About This Study Plan
This 30-day study plan breaks the PDE (Data Engineer) exam preparation into 4 focused study sessions with 16 actionable tasks. The plan covers all 5 exam domains — Designing Data Processing Systems, Ingesting and Processing Data, Storing and Managing Data, Preparing Data for Analysis, Automating Data Workloads — ensuring complete coverage. Structured 30-day plan for the Google Professional Data Engineer exam.
Prerequisites
- SQL proficiency
- Basic GCP knowledge
- 2–3 hours per day
Study Schedule
- Days 1–2: BigQuery deep dive — architecture, DML, DDL, and optimization
- Days 3–4: Bigtable schema design and Cloud Spanner
- Days 5–6: Cloud SQL, AlloyDB, and Cloud Storage for data lakes
- Day 7: Storage service selection practice scenarios
- Days 8–9: Dataflow — Apache Beam concepts, transforms, and windowing
- Days 10–11: Dataproc — Spark jobs, autoscaling, and migration
- Days 12–13: Pub/Sub, streaming ingestion, and CDC patterns
- Day 14: Cloud Composer DAGs and pipeline orchestration
- Days 15–16: BigQuery ML and Vertex AI integration
- Days 17–18: Data governance — Data Catalog, DLP, and lineage
- Days 19–20: Security — encryption, IAM, and VPC Service Controls
- Day 21: Monitoring and troubleshooting data pipelines
- Days 22–23: Full practice exam #1 + review
- Days 24–25: BigQuery and Dataflow scenario drills
- Days 26–27: Full practice exam #2 + weak areas
- Days 28–30: Service selection flowcharts, flashcards, and rest
Study Tips
Practice BigQuery queries with partitioning and clustering in the console.
Understand Apache Beam programming model even if you have not used it.
Know cost optimization strategies for every data service.
Recommended Google Cloud Study Resources
Supplement this study plan with Google Cloud Skills Boost, which provides structured learning paths aligned to each certification. The Google Cloud documentation is exceptionally detailed and frequently referenced in exam questions. Take advantage of the free $300 credit for new GCP accounts to build real projects during your study period.
Ready to Practice?
Put your study plan into action with Data Engineer practice questions.