Google Cloud Platform - Data Engineer

Study guide. Topics include:

Datastream

VPC & VPC Service Controls

IAM

Dataproc

Dataflow (focused on watermarks and windowing concepts)

Dataplex (3 questions)

Cloud Composer (2-3 questions)

Analytics Hub (around 3 questions, such as deciding which service to use for sharing datasets within an organization)

Pub/Sub (multiple-choice questions and a few standard ones)

BigQuery Omni & BigLake

Dataprep

Cloud KMS (what to do if a CMEK key is leaked)

BigQuery (a lot of questions on time travel, views, partitioning, and query cost management)

Bigtable (row keys)

Cloud Storage (autoclass and turbo replication features)

Data Fusion

Memorystore (tiers)

Cloud Build

Associate Data Practitioner

Introduction to Data Engineering on Google Cloud.

Exploring Data Transformation with Google Cloud.

Derive Insights from BigQuery Data.

Baseline: Infrastructure.

Professional Data Engineer

Build Data Lakes and Data Warehouses on Google Cloud.

Build Batch Data Pipelines on Google Cloud.

Build Streaming Data Pipelines on Google Cloud.

Build a Data Warehouse with BigQuery.

Resources

Nguyen Van Tuan's Guide

Google Skills - Associate Data Practitioner Certification

Google Skills - Professional Data Engineer Certification