Individual scheduling
The courses are held as dedicated group sessions. Once you've booked, we'll coordinate a date that works for your team and send invitations to all participants.
Prerequisites
What you'll learn
The role of a data engineer
Data sources versus data sinks
Data formats
Storage solution options on Google Cloud
Metadata management options on Google Cloud
Sharing datasets using Analytics Hub
Replication and migration architecture
The gcloud command-line tool
Moving datasets
Datastream
Extract and load architecture
The bq command-line tool
BigQuery Data Transfer Service
BigLake
Extract, load, and transform (ELT) architecture
SQL scripting and scheduling with BigQuery
Dataform
Extract, transform, and load (ETL) architecture
Google Cloud GUI tools for ETL data pipelines
Batch data processing using Dataproc
Streaming data processing options
Bigtable and data pipelines
Automation patterns and options for pipelines
Cloud Scheduler and Workflows
Cloud Composer
Cloud Run Functions
Eventarc