Data Warehousing on AWS Training in France

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 3 Days
  • Level: Intermediate
  • Price: From €2,300+VAT
  • Upcoming Date:
  • UK Based Global Training Provider

The Data Warehousing on AWS Training course provides the knowledge and hands-on experience required to design, build, and manage modern, scalable, and high-performance data warehouse solutions on AWS. The course focuses on Amazon Redshift, AWS's petabyte-scale cloud data warehouse service, while covering the key components of end-to-end data analytics architectures.

Participants will learn how to use services such as Amazon Redshift, Amazon S3, Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon QuickSight to collect, integrate, store, process, analyse, and visualise data. The course also explores AWS best practices for data modelling, performance optimisation, security, and data lifecycle management.

Through hands-on labs and real-world scenarios, learners will gain practical experience building enterprise-scale data warehouse solutions, managing large-scale analytical workloads, and transforming data into actionable business insights.

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

Prerequisites

Participants should have:

  • Completed AWS Technical Essentials or possess equivalent AWS experience
  • Familiarity with relational databases
  • Understanding of database design concepts

Who Should Attend

This course is designed for:

  • Database Architects
  • Database Administrators (DBAs)
  • Database Developers
  • Data Engineers
  • Data Analysts
  • Data Scientists
  • Business Intelligence (BI) Professionals
  • Technical teams responsible for analytics and data warehouse solutions

What You Will Learn

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

  • Design cloud-based data warehouse solutions using Amazon Redshift.
  • Select appropriate data warehousing strategies and architectures.
  • Integrate multiple data sources into AWS analytics environments.
  • Load, process, and manage large-scale datasets.
  • Optimise query performance and data warehouse efficiency.
  • Monitor, audit, and maintain data warehouse environments.
  • Build business intelligence dashboards and reports.
  • Leverage AWS analytics services to support data-driven decision making.

Training Outline

Day 1

Course Introduction

  • Data Warehousing Fundamentals
  • Modern Data Architectures
  • AWS Analytics Ecosystem

Introduction to Amazon Redshift

  • Amazon Redshift Architecture
  • Redshift Components and Resources
  • Data Warehouse Infrastructure Design

Launching an Amazon Redshift Cluster

  • Cluster Deployment
  • Configuration Options
  • Security Settings

Day 2

Choosing a Data Warehousing Approach

  • Data Warehousing Strategies
  • Data Modelling Principles
  • Enterprise Analytics Architectures

Identifying Data Sources and Requirements

  • Data Source Analysis
  • Integration Requirements
  • ETL and Data Preparation Processes

Architecting the Data Warehouse

  • Scalable Data Warehouse Design
  • AWS Analytics Service Integration
  • High-Performance Architecture Patterns

Loading Data into the Data Warehouse

  • Amazon Redshift Data Loading Methods
  • Amazon S3 Integration
  • Data Transfer Strategies

Day 3

Query Optimisation and Performance Tuning

  • Query Performance Improvement
  • Data Distribution Strategies
  • Workload Optimisation

Monitoring and Auditing the Data Warehouse

  • System Monitoring
  • Performance Metrics
  • Security and Compliance Auditing

Maintaining the Data Warehouse

  • Operational Maintenance
  • Data Lifecycle Management
  • Best Practices for Data Operations

Analysing and Visualising Data

  • Amazon QuickSight
  • Dashboard Design
  • Business Intelligence Reporting
  • Data-Driven Decision Making

AWS Analytics Services Covered

Throughout the course, participants will work with:

  • Amazon Redshift
  • Amazon DynamoDB
  • Amazon EMR
  • Amazon Kinesis
  • Amazon S3
  • Amazon QuickSight

Why Choose Us

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

Immerse yourself in our most sought-after learning style for Data Warehousing on AWS Training in France. Our hand-picked classroom venues in France 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 Data Warehousing on AWS Training in France. 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!

Data Warehousing on AWS Training Course in France Schedule

Join our public courses in our France 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.
16 juin 2026 (3 Days)
Paris, Lyon, Toulouse, Marseille
€2,300 +VAT
02 juillet 2026 (3 Days)
Paris, Lyon, Toulouse, Marseille
€2,300 +VAT
08 août 2026 (3 Days)
Paris, Lyon, Toulouse, Marseille
€2,300 +VAT
02 septembre 2026 (3 Days)
Paris, Lyon, Toulouse, Marseille
€2,300 +VAT
04 septembre 2026 (3 Days)
Paris, Lyon, Toulouse, Marseille
€2,300 +VAT
22 septembre 2026 (3 Days)
Paris, Lyon, Toulouse, Marseille
€2,300 +VAT
24 septembre 2026 (3 Days)
Paris, Lyon, Toulouse, Marseille
€2,300 +VAT
20 octobre 2026 (3 Days)
Paris, Lyon, Toulouse, Marseille
€2,300 +VAT

France stands as a cornerstone of European industrial innovation, with Paris and Lyon serving as premier global hubs for aerospace, automotive technology, and high-end digital startups. The French tech ecosystem, famously supported by the 'La French Tech' initiative, thrives on the research excellence of institutions like Sorbonne University and École Polytechnique. As a leader in sustainable energy software and sophisticated telecommunications, France offers a highly competitive landscape for advanced professional development. Our IT training programs in France are designed to meet these elite standards, focusing on Cloud Computing, Cybersecurity, and Data Science certifications. We empower professionals across the Republic to lead digital transformation projects within a diverse economy that is consistently pushing the boundaries of engineering and artificial intelligence.

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