Google Professional Data Engineer — Study Guide
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This guide covers each PDE domain in depth. Pick a domain to go deep, or work through them in order.
The domains
- Data Engineering Architecture and Design — Data engineering architecture and design on Google Cloud balances domain boundaries, processing patterns, and service capabilities to deliver
- Data Storage, Lakes and File Formats — Data storage on Google Cloud spans raw object storage, curated data lakes, and analytics-optimized formats. Building reliable, governed, and
- BigQuery Analytics and Warehouse Engineering — BigQuery is a serverless, columnar, MPP analytics warehouse that separates storage from compute, providing near-infinite scale, ANSI SQL, and
- Stream Processing with Dataflow and Apache Beam — Stream processing on Google Cloud centers on Apache Beam’s unified programming model executed by the Dataflow runner. Beam provides a logical
- Messaging, Event Ingestion and Real-Time Services — Messaging, event ingestion, and real-time services on Google Cloud center on Cloud Pub/Sub and Eventarc for decoupled, durable transport; Dataflow
- Spark, Dataproc and Distributed Data Processing — Apache Spark on Google Cloud Dataproc provides a managed, elastic platform for distributed data processing. You can choose between long-running or
- Data Ingestion, Integration and Migration — Data ingestion, integration, and migration in Google Cloud span repeatable patterns, managed services, and operational controls that turn diverse
- Workflow Orchestration and Pipeline Automation — Key choices: - Code‑centric batch orchestration with Cloud Composer (Apache Airflow) for DAGs, task dependencies, and advanced scheduling. -
- Machine Learning, AI and Data Serving — - Model creation: use CREATE MODEL with explicit label columns and feature transforms to avoid leakage and standardize inputs. Example: CREATE OR
- Data Governance, Security, Reliability and Cost Operations — This section summarizes design patterns and operational practices for data governance, security, reliability, and cost operations on Google Cloud. It
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