The Google Data Engineer course aims to provide a comprehensive understanding of Google Cloud Platform (GCP) and its data engineering services, including its architecture and global infrastructure.
Participants will learn to design and build scalable data processing systems, utilizing tools such as Dataflow and Dataproc, and implementing best practices for ETL processes.
The course covers the creation and management of data pipelines using Cloud Composer and Cloud Dataflow, emphasizing workflow orchestration, scheduling, and data quality.
Course features:
Practical hands on
Lab sessions
Training by experienced faculty
PRE-REQUISITES:
Familiarity with cloud computing concepts such as IaaS, PaaS, and SaaS.
Practical experience using GCP services or other cloud platforms is beneficial.
Knowledge of GCP's core services, including Compute Engine, Cloud Storage, and Cloud Networking.
Basic knowledge of data processing, ETL processes, and data storage solutions
Understanding of data ingestion, transformation, and pipeline management.