✍️1 · PDE Key Concepts

Important concepts to master for the exam

CEG*	Topic
1	IAM Considerations Encryption and key management Concepts of Data Lake Data Mesh Data Marts Big Lake Data Lakehouse Data Governance & Data Quality
2	CDC Datastream Beam Programming Model Dataflow Watermarks & Late Data Dataflow Windowing Core Beam Transforms Apache Beam Side Inputs Apache Beam Triggers Dataproc Workflow Templates
3	Database Normalisation vs. Denormalisation Authorised Views vs. Materialised Views BigQuery Data Partitioning Query Partitioned Tables Clustered Tables Partitioning vs. Sharding Export Table Data Data Studio Caching BigTable Key Design BigTable Hotspotting BigTable Performance BigTable Tall & Narrow Tables
4	BigQuery ML Trained Models
5	Different types of GCP Log sinks
misc.	Tipos de algoritmos de ML (Clasificación, Regresión, Asociación y Clustering)

Professional Data Engineer Certification Exam Guide  |  Learn  |  Google CloudGoogle Cloud

CEG* (Certification Exam Guide) Sections

1. Designing data processing systems

2. Ingesting and processing the data

3. Storing the data

4. Preparing and using data for analysis

5. Maintaining and automating data workloads

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