Google Cloud PDE 30-, 60-, and 90-day study plan for pipelines, governance, warehousing, review loops, and final-week priorities.
This plan is a compact route for Google Cloud Professional Data Engineer (PDE). It assumes you are using TechExamLexicon for concept clarity and the exact IT Mastery page for practice routing.
| Day | Focus | What to do |
|---|---|---|
| Day 1 | Orientation and scope | Read the exam guide overview and official vendor page, then use this study plan to mark the lanes you already know and the lanes that need practice. |
| Day 2 | Data ingestion | Choose batch, streaming, pub/sub, transfer, replication, and file ingestion patterns. |
| Day 3 | Storage and modeling | Pick BigQuery, Cloud Storage, Spanner, Bigtable, SQL, and lake patterns based on access and scale. |
| Day 4 | Processing and orchestration | Use Dataflow, Dataproc, Dataform, Composer, workflows, and SQL transformations appropriately. |
| Day 5 | Governance and quality | Apply cataloging, lineage, access, privacy, DLP, retention, and validation. |
| Day 6 | Reliability and optimization | Tune pipelines, partitioning, clustering, cost, monitoring, and failure handling. |
| Day 7 | Timed review and scheduling decision | Run a timed practice block, review explanations, update a one-page rule sheet, and verify current vendor facts before scheduling. |