Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Redshift Initiation - Master the AWS Data Warehouse in 4 Days training are: SQL basics, knowledge of relational databases, familiarity with the cloud.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Redshift Initiation - Master the AWS Data Warehouse in 4 Days training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Training Redshift Initiation - Master the AWS Da... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training Redshift Initiation - Master the AWS Data Warehouse in 4 Days training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training Redshift Initiation - Master the AWS Data Warehouse in 4 Days training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Redshift Initiation - Master the AWS Data Warehouse in 4 Days training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training objectives

Discover the architecture and key concepts of Amazon Redshift

Create and configure a Redshift cluster via the AWS console

Load massive data into Redshift efficiently

Master SQL queries optimized for performance

Integrate Redshift with S3 and other AWS services

Manage security, costs, and maintenance of clusters

Training program

Module 1Day 1: Introduction to Redshift: architecture and basic concepts (AWS Console, nodes, clusters)

Dive into the fundamentals of Amazon Redshift, explore the scalable architecture via the AWS console, identify node and cluster types suited to your needs, complete your first practical exercises in a sandbox environment, analyze real production data warehouse cases, and create a personal architectural diagram to consolidate your learning.

Module 2Day 2: Cluster creation and data loading (COPY, S3 integration, ETL tools)

Create your first Redshift cluster live, configure optimal parameters for massive volumes, load datasets from S3 using the COPY command, test hands-on exercises with real CSV and JSON files, manage common errors, and generate a performance loading report to validate your practical skills.

Module 3Day 3: SQL queries and optimization (Distribution, Sort Keys, performance analysis)

Master advanced SQL queries on Redshift, apply distribution and sort keys to boost performance, analyze execution plans with EXPLAIN, optimize slow queries on large datasets through interactive exercises, compare before/after results, and create simple dashboards to visualize efficiency gains.

Module 4Day 4: Security, costs, and advanced integrations (IAM, WLM, CloudWatch monitoring)

Secure your cluster with IAM and VPC, control costs via resizing and CloudWatch monitoring, integrate Redshift with EC2 and Lambda on real cases, simulate varied workloads, manage automated backups, and finalize with a complete deliverable project ready for your professional environment.