Data Engineering on AWS Training in Norway

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 3 Days
  • Level: Intermediate
  • Price: Please contact for booking options
  • Upcoming Date:
  • UK Based Global Training Provider

Data Engineering on AWS is a 3-day intermediate course designed for professionals who want to master data engineering solutions using AWS services.

Through hands-on labs, theory, and real-world exercises, participants learn how to design, build, optimize, and secure modern data architectures — including data lakes, warehouses, and pipelines (batch and streaming).

The course prepares learners for the AWS Certified Data Engineer – Associate certification.

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

Prerequisites

Participants should have:

  • Basic understanding of machine learning concepts,

  • Familiarity with Python and common data libraries (NumPy, Pandas, Scikit-learn),

  • Knowledge of cloud computing and AWS fundamentals,

  • Experience with SQL recommended,

  • Familiarity with Git is beneficial.

Who Should Attend

This course is ideal for:

  • Data engineers and architects working with AWS,

  • Professionals building or managing large-scale data platforms,

  • Teams migrating on-premises data infrastructure to AWS,

  • Candidates preparing for the AWS Data Engineer Associate (DEA-C01) exam.

What You Will Learn

By the end of the course, participants will be able to:

  • Understand data engineering roles and key AWS services,

  • Design and implement data lakes and warehouses on AWS,

  • Apply performance tuning, orchestration, and security best practices,

  • Build and manage batch and streaming data pipelines,

  • Optimize data architectures for scalability, cost, and compliance.

Training Outline

Day 1

Module 1: Data Engineering Roles and Key Concepts

  • Role of a Data Engineer
  • Key functions of a Data Engineer
  • Data Personas
  • Data Discovery
  • AWS Data Services

Module 2: AWS Data Engineering Tools and Services

  • Orchestration and Automation
  • Data Engineering Security
  • Monitoring
  • Continuous Integration and Continuous Delivery
  • Infrastructure as Code
  • AWS Serverless Application Model
  • Networking Considerations
  • Cost Optimization Tools

Module 3: Designing and Implementing Data Lakes

  • Data lake introduction
  • Data lake storage
  • Ingest data into a data lake
  • Catalog data
  • Transform data
  • Server data for consumption
  • Hands-on lab: Setting up a Data Lake on AWS

Module 4: Optimizing and Securing a Data Lake Solution

  • Open Table Formats
  • Security using AWS Lake Formation
  • Setting permissions with Lake Formation
  • Security and governance
  • Troubleshooting
  • Hand-on lab: Automating Data Lake Creation using AWS Lake Formation Blueprints

Day 2

Module 5: Data Warehouse Architecture and Design Principles

  • Introduction to data warehouses
  • Amazon Redshift Overview
  • Ingesting data into Redshift
  • Processing data
  • Serving data for consumption
  • Hands-on Lab: Setting up a Data Warehouse using Amazon Redshift Serverless

Module 6: Performance Optimization Techniques for Data Warehouses

  • Monitoring and optimization options
  • Data optimization in Amazon Redshift
  • Query optimization in Amazon Redshift
  • Orchestration options

Module 7: Security and Access Control for Data Warehouses

  • Authentication and access control in Amazon Redshift
  • Data security in Amazon Redshift
  • Auditing and compliance in Amazon Redshift
  • Hands-on lab: Managing Access Control in Redshift

Module 8: Designing Batch Data Pipelines

  • Introduction to batch data pipelines
  • Designing a batch data pipeline
  • AWS services for batch data processing

Module 9: Implementing Strategies for Batch Data Pipeline

  • Elements of a batch data pipeline
  • Processing and transforming data
  • Integrating and cataloging your data
  • Serving data for consumption
  • Hands-on lab: A Day in the Life of a Data Engineer

Day 3

Module 10: Optimizing, Orchestrating, and Securing Batch Data Pipelines

  • Optimizing the batch data pipeline
  • Orchestrating the batch data pipeline
  • Securing the batch data pipeline
  • Hands-on lab: Orchestrating Data Processing in Spark using AWS Step Functions

Module 11: Streaming Data Architecture Patterns

  • Introduction to streaming data pipelines
  • Ingesting data from stream sources
  • Streaming data ingestion services
  • Storing streaming data
  • Processing Streaming Data
  • Analyzing Streaming Data with AWS Services
  • Hands-on lab: Streaming Analytics with Amazon Managed Service for Apache Flink

Module 12: Optimizing and Securing Streaming Solutions

  • Optimizing a streaming data solution
  • Securing a streaming data pipeline
  • Compliance considerations
  • Hands-on lab: Access Control with Amazon Managed Streaming for Apache Kafka


Why Choose Bilginç IT Academy

Experience live, interactive learning from the comfort of your home or office with Bilginç IT Academy's Online Instructor-Led Data Engineering on AWS Training in Norway. 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 Norway, with flexible scheduling to meet your professional needs.

Immerse yourself in our most sought-after learning style for Data Engineering on AWS Training in Norway. Our hand-picked classroom venues in Norway 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 Bilginc IT Academy’s Onsite Data Engineering on AWS Training in Norway. 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!

Available Training Dates

Join our public courses in our Norway 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.
10 april 2026 (3 Days)
Oslo, Bergen, Stavanger
19 april 2026 (3 Days)
Oslo, Bergen, Stavanger
21 april 2026 (3 Days)
Oslo, Bergen, Stavanger
23 april 2026 (3 Days)
Oslo, Bergen, Stavanger
26 april 2026 (3 Days)
Oslo, Bergen, Stavanger
09 mai 2026 (3 Days)
Oslo, Bergen, Stavanger
24 mai 2026 (3 Days)
Oslo, Bergen, Stavanger
04 juni 2026 (3 Days)
Oslo, Bergen, Stavanger

Norway represents a pinnacle of digital integration, with Oslo, Bergen, and Stavanger leading the way in sustainable technology and maritime informatics. Oslo, the economic and governmental hub, is home to the University of Oslo, an institution that has been a catalyst for scientific research since 1811. The Norwegian tech sector is characterized by its early adoption of green-tech and advanced automation within the energy sector. Our training initiatives in Norway focus on delivering high-level IT skills that align with the country's high standards for digital governance and environmental sustainability. By fostering a deep understanding of software architecture and cybersecurity, we support Norway's transition into a fully digitized, carbon-neutral economy through professional excellence.

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