Important concepts to master for the exam
Last updated 11 months ago
CEG* (Certification Exam Guide) Sections
Designing data processing systems
Ingesting and processing the data
Storing the data
Preparing and using data for analysis
Maintaining and automating data workloads
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)
