GCP Data Engineer Training Logo

GCP Data Engineer Training

Live Online & Classroom Enterprise Training

GCP Data Engineer is a course that teaches how to design and build data pipelines, process and analyze data, and implement machine learning models using Google Cloud Platform services like BigQuery, Dataflow, and Pub/Sub.

Looking for a private batch ?

REQUEST A CALLBACK

Need help finding the right training?

Your Message

  • Enterprise Reporting

  • Lifetime Access

  • CloudLabs

  • 24x7 Support

  • Real-time code analysis and feedback

What is GCP Data Engineer Training about?

Equip learners with foundational knowledge and hands-on experience in data engineering using Google Cloud. Learners will understand the roles and responsibilities of data engineers, explore various data pipeline patterns, and learn to automate data workflows.

What are the objectives of GCP Data Engineer Training ?

  • Describe the role and responsibilities of a data engineer.
  • Identify and use core components for data engineering on Google Cloud.
  • Design and implement data pipelines using EL, ELT, and ETL patterns.
  • Apply automation techniques to streamline data workflows.

Who is GCP Data Engineer Training for?

  • Aspiring data engineers.
  • Professionals transitioning to cloud-based data roles.
  • Anyone interested in building scalable data pipelines on Google Cloud.

Available Training Modes

Live Online Training

Course Outline Expand All

Expand All

  • Overview of course structure and goals.
  • Introduction to data engineering on Google Cloud.
  • Key concepts: data sources/sinks, formats, storage options.
  • Metadata management and Analytics Hub.
  • Includes: 8 videos, 1 lab, 1 quiz.
  • Tools: gcloud, Storage Transfer Service, Transfer Appliance, Datastream.
  • Architecture and use cases.
  • Includes: 6 videos, 1 lab, 1 quiz.
  • BigQuery and BigLake usage.
  • Data extraction and loading architecture.
  • Includes: 6 videos, 1 lab, 1 quiz.
  • ELT architecture and pipeline examples.
  • BigQuery scripting and Dataform.
  • Includes: 5 videos, 1 lab, 1 quiz.
  • ETL architecture and GUI tools.
  • Batch/streaming with Dataproc, Bigtable.
  • Includes: 8 videos, 2 labs, 1 quiz.
  • Tools: Cloud Scheduler, Workflows, Cloud Composer, Cloud Run, Eventarc.
  • Automation patterns and use cases.
  • Includes: 7 videos, 1 lab, 1 quiz.

Who is the instructor for this training?

The trainer for this GCP Data Engineer Training has extensive experience in this domain, including years of experience training & mentoring professionals.

Reviews