This course introduces the concepts, tools, and best practices for data engineering on Google Cloud. You will learn to build data pipelines, manage data processing workflows, and work with Google Cloud data services including Dataflow, Dataproc, Pub/Sub, and BigQuery. The course covers both batch and streaming data processing patterns in a cloud-native environment.
Who Should Attend
Data Engineers, Cloud Engineers, and IT professionals who want to build and manage data pipelines using Google Cloud services.
Prerequisites
- Basic understanding of Google Cloud fundamentals
- Familiarity with SQL and Python
Course Objectives
- Design and build data ingestion pipelines using Pub/Sub and Dataflow
- Process large-scale datasets using Dataproc and Apache Spark
- Load and query data in BigQuery for analytics workloads
- Implement data pipeline orchestration using Cloud Composer
