Introduction to Data Engineering on Google Cloud Training in Denmark

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 1 Day
  • Level: Fundamentals
  • Price: From €1,475+VAT
  • Upcoming Date:
  • UK Based Global Training Provider

In this course, you learn about data engineering on Google Cloud, the roles and responsibilities of data engineers, and how those map to offerings provided by Google Cloud. You also learn about ways to address data engineering challenges.

We can organize this training at your preferred date and location. Contact Us!

Prerequisites

Before starting this learning path, you should already have:

  • Prior Google Cloud experience at the fundamental level using Cloud Shell and accessing products from the Google Cloud console.
  • Basic proficiency with a common query language such as SQL.
  • Experience with data modelling and ETL (extract, transform, load) activities.
  • Experience developing applications using a common programming language such as Python.

Target audience

The target audience is aimed at: Data engineers, Database administrators and System administrators.

What You Will Learn

By the end of this course, learners will:

  • Understand the role of a data engineer.
  • Identify data engineering tasks and core components used on Google Cloud.
  • Understand how to create and deploy data pipelines of varying patterns on Google Cloud.
  • Identify and utilize various automation techniques on Google Cloud.

Training Outline

Data Engineering Tasks and Components

  • Explain the role of a data engineer.
  • Understand the differences between a data source and a data sink.
  • Explain the different types of data formats.
  • Explain the storage solution options on Google Cloud.
  • Learn about the metadata management options on Google Cloud.
  • Understand how to share datasets with ease using Analytics Hub.
  • Understand how to load data into BigQuery using the Google Cloud console or the gcloud CLI.

Data Replication and Migration

  • Explain the baseline Google Cloud data replication and migration architecture.
  • Understand the options and use cases for the gcloud command-line tool.
  • Explain the functionality and use cases for Storage Transfer Service.
  • Explain the functionality and use cases for Transfer Appliance.
  • Understand the features and deployment of Datastream.

The Extract and Load Data Pipeline Pattern

  • Explain the baseline extract and load architecture diagram.
  • Understand the options of the bq command-line tool.
  • Explain the functionality and use cases for BigQuery Data Transfer Service.
  • Explain the functionality and use cases for BigLake as a non-extract-load Pattern.

The Extract, Load, and Transform Data Pipeline Pattern

  • Explain the baseline extract, load, and transform architecture diagram.
  • Understand a common ELT pipeline on Google Cloud.
  • Learn about BigQuery’s SQL scripting and scheduling capabilities.
  • Explain the functionality and use cases for Dataform.

The Extract, Transform and Load Data Pipeline Pattern

  • Explain the baseline extract, transform, and load architecture diagram.
  • Learn about the GUI tools on Google Cloud used for ETL data pipelines.
  • Explain batch data processing using Dataproc.
  • Learn how to use Dataproc Serverless for Spark for ETL.
  • Explain streaming data processing options.
  • Explain the role Bigtable plays in data pipelines.

Automation Techniques

  • Explain the automation patterns and options available for pipelines.
  • Learn about Cloud Scheduler and Workflows.
  • Learn about Cloud Composer.
  • Learn about Cloud Run functions.
  • Explain the functionality and automation use cases for Eventarc.

Exams and Assessments

No formal examinations for this course.

Hands-on Learning

Within this course there are opportunities for learners to engage in hands-on labs to support module learning.

In addition, each module will also have a quiz, to support knowledge capture.

Why Choose Us

Experience live, interactive learning from the comfort of your home or office with Bilginç IT Academy's Online Instructor-Led Introduction to Data Engineering on Google Cloud Training in Denmark. Engage directly with expert trainers in a virtual environment that mirrors the energy and schedule of a physical classroom.

  • Live Sessions: Join scheduled classes with a live instructor and other delegates in real-time.
  • Interactive Experience: Engage in group activities, hands-on labs, and direct Q&A sessions with your trainer and peers.
  • Global Expert Trainers: Learn from a handpicked global pool of expert trainers with deep industry experience.
  • Proven Expertise: Benefit from over 30 years of quality training experience, equipping you with lasting skills for success.
  • Scalable Delivery: Accessible worldwide, including Denmark, with flexible scheduling to meet your professional needs.

Immerse yourself in our most sought-after learning style for Introduction to Data Engineering on Google Cloud Training in Denmark. Our hand-picked classroom venues in Denmark offer an invaluable human touch, providing a focused and interactive environment for professional growth.

  • Highly Experienced Trainers: Boost your skills with trainers boasting 10-20+ years of real-world experience.
  • State-of-the-Art Venues: Learn in high-standard facilities designed to ensure a comfortable and distraction-free experience.
  • Small Class Sizes: Our limited class sizes foster meaningful discussions and a personalized learning journey.
  • Best Value: Achieve your certification with high-quality training and competitive pricing.

Streamline your organization's training requirements with Bilginç IT Academy’s Onsite Introduction to Data Engineering on Google Cloud Training in Denmark. Experience expert-led learning at your own business premises, tailored to your corporate goals.

  • Tailored Learning Experience: Customize the training content to fit your unique business projects or specific technical needs.
  • Maximize Training Budget: Eliminate travel and accommodation costs, focusing your entire budget on the training itself.
  • Team Building Opportunity: Enhance team bonding and collaboration through shared learning experiences in your workspace.
  • Progress Monitoring: Track and evaluate your employees' progression and performance with relative ease and direct oversight.


Contact us for more detail about our trainings and for all other enquiries!

Introduction to Data Engineering on Google Cloud Training Course in Denmark Schedule

Join our public courses in our Denmark facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
05 maj 2026 (1 Day)
Copenhagen, Aarhus, Odense
€1,475 +VAT
08 maj 2026 (1 Day)
Copenhagen, Aarhus, Odense
€1,475 +VAT
12 maj 2026 (1 Day)
Copenhagen, Aarhus, Odense
€1,475 +VAT
13 maj 2026 (1 Day)
Copenhagen, Aarhus, Odense
€1,475 +VAT
26 juli 2026 (1 Day)
Copenhagen, Aarhus, Odense
€1,475 +VAT
01 september 2026 (1 Day)
Copenhagen, Aarhus, Odense
€1,475 +VAT
15 september 2026 (1 Day)
Copenhagen, Aarhus, Odense
€1,475 +VAT
23 september 2026 (1 Day)
Copenhagen, Aarhus, Odense
€1,475 +VAT

Denmark consistently ranks as one of the most digitally advanced nations in the world, with Copenhagen and Aarhus serving as vibrant centers for green-tech and digital government solutions. The country’s commitment to digital transformation is backed by top-tier institutions like the Technical University of Denmark (DTU), which fosters innovation in sustainable energy software and biotechnology. Denmark’s business environment is highly digitized, requiring a workforce that is proficient in the latest enterprise solutions and cloud frameworks. Our training solutions in Denmark are focused on high-demand skills such as DevOps, Cyber Defense, and Agile management. We provide the expertise necessary for professionals to excel in a highly efficient, tech-driven economy that prioritizes innovation, sustainability, and digital integration.

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