Data Warehousing on AWS: Design, Build and Optimize Scalable Data Warehouses with Amazon Redshift in 2026.

  • Why get trained: Learn how to design and implement cloud data warehouses using Amazon Redshift, integrating services like Amazon S3, EMR and Kinesis for data ingestion and processing.
  • Why it matters: Data warehousing skills enable organisations to transform raw data into structured insights, improving analytics, reporting and decision-making at scale.
  • Who should attend: Data engineers, data architects, database administrators, developers and analytics professionals working with data platforms and cloud environments.

Build modern data warehousing capability and develop skills to design, manage and optimise scalable analytics platforms. HRD Corp Claimable.

Overview

Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift.

This course demonstrates how to ingest, store, and transform data in the data warehouse. Topics covered include:

  • the purpose of Amazon Redshift
  • how Amazon Redshift addresses business and technical challenges
  • features and capabilities of Amazon Redshift
  • designing a Data Warehousing Solution on AWS by applying best practices based on the Well-Architected Framework, integration with AWS and non-AWS products and services
  • performance tuning
  • orchestration
  • securing and monitoring Amazon Redshift

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Skills Covered

In this course, you will learn to:

  • Describe Amazon Redshift architecture and its roles in a modern data architecture
  • Design and implement a data warehouse in the cloud using Amazon Redshift
  • Identify and load data into an Amazon Redshift data warehouse from a variety of sources
  • Analyze data using SQL QEV2 notebooks
  • Design and implement a disaster recovery strategy for an Amazon Redshift data warehouse
  • Perform maintenance and performance tuning on an Amazon Redshift data warehouse
  • Secure and manage access to an Amazon Redshift data warehouse
  • Share data between multiple Redshift clusters in an organization
  • Orchestrate workflows in the data warehouse using AWS Step Functions state machines
  • Create an ML model and configure predictors using Amazon Redshift ML

Prerequisites

We recommend that attendees of this course have completed the following courses:

Target Audience

This course is intended for:

  • Data engineers
  • Data architects
  • Database architects
  • Database administrators
  • Database developers

Course Curriculum

Module 1: Data Warehouse Concepts

  • Modern data architecture
  • Introduction to the course story
  • Data warehousing with Amazon Redshift
  • Amazon Redshift Serverless architecture
  • Hands-On Lab: Launch and Configure an Amazon Redshift Serverless Data Warehouse

Module 2: Setting up Amazon Redshift

  • Data models for Amazon Redshift
  • Data management in Amazon Redshift
  • Managing permissions in Amazon Redshift
  • Hands-On Lab: Setting up a Data Warehouse using Amazon Redshift Serverless

Module 3: Loading Data

  • Overview of data sources
  • Loading data from Amazon Simple Storage Service (Amazon S3)
  • Extract, transform, and load (ETL) and extract, load, and transform (ELT)
  • Loading streaming data
  • Loading data from relational databases
  • Hands-On Lab: Populating the data warehouse

Module 4: Deep Dive into SQL Query Editor v2 and Notebooks

  • Features of Amazon Redshift Query Editor v2
  • Demonstration: Using Amazon Redshift Query Editor v2
  • Advanced queries
  • Hands-On Lab: Data Wrangling on AWS

Module 5: Backup and Recovery

  • Disaster recovery
  • Backing up and restoring Amazon Redshift provisioned
  • Backing up and restoring Amazon Redshift Serverless

Module 6: Amazon Redshift Performance Tuning

  • Factors that impact query performance
  • Table maintenance and materialized view
  • Query analysis
  • Workload management
  • Tuning guidance
  • Amazon Redshift monitoring
  • Hands-On Lab: Performance Tuning the Data Warehouse

Module 7: Securing Amazon Redshift

  • Introduction to Amazon Redshift security and compliance
  • Authentication with Amazon Redshift
  • Access control with Amazon Redshift
  • Data encryption with Amazon Redshift
  • Auditing and compliance with Amazon Redshift
  • Hands-On Lab: Securing Amazon Redshift

Module 8: Orchestration

  • Overview of data orchestration
  • Orchestration with AWS Step Functions
  • Orchestration with Amazon Managed Workflows for Apache Airflow (MWAA)
  • Hands-On Lab: Orchestrating the Data Warehouse Pipeline

Module 9: Amazon Redshift ML

  • Machine Learning Overview
  • Getting started with Amazon Redshift ML
  • Amazon Redshift ML workflow scenarios
  • Amazon Redshift ML Usage
  • Hands-On Lab: Predicting customer churn with Amazon Redshift ML

Module 10: Amazon Redshift Data Sharing

  • Overview of data sharing in Amazon Redshift
  • Amazon DataZone for Data as a service

Module 11: Wrap-up

  • Hands-On Lab: End of course challenge lab

Dates & Locations

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August 17, 2026 - August 19, 2026

Location: Kuala Lumpur
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Availability: TBC
RM 5400 RM 4500
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August 17, 2026 - August 19, 2026

Location: Online
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November 16, 2026 - November 18, 2026

Location: Kuala Lumpur
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RM 5400

November 16, 2026 - November 18, 2026

Location: Online
Modal: VILT
Availability: TBC
RM 5400
Trainocate exam and cert

Exam & Certification

There is no exam directly associated with this course. However, AWS offers an extensive portfolio of industry-recognized certifications that can help you stand out as a tech professional in 2026 and beyond. Achieving AWS credentials is one of the most effective ways to validate your skills and accelerate your career.

With our expert-led training, you’ll be prepared to:

  • Master in-demand capabilities across Cloud, Data & AI, and Cybersecurity — areas driving global digital transformation.
  • Prove your expertise with a globally respected credential recognized by employers worldwide.
  • Advance your career by enhancing your credibility, increasing your earning potential, and opening doors to new opportunities.

Explore our top AWS Certifications for 2026 and start building the skills that matter today.

Training & Certification Guide

Validate Your Skills with AWS Certification

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Innovate Securely and Confidently with AWS Training and Certification

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Accelerate Your Modernization Journey

Develop skills in designing, building and managing modern applications. As companies look to become more agile so they can innovate and respond to change faster and innovate rapidly, this inadvertently requires a different kind of application than what was common years ago. This e-book gives you insights on the importance of training and skilling to accelerate your company’s digital transformation.

Accelerate Migration with Comprehensive Cloud Skills Enablement

As benefits of the cloud like speed, scale and modernization have become more widely understood, the conversation at many organizations has shifted from “why cloud?” to “which cloud?” Thousands of companies, including GE, The Coca-Cola Company, BP, Enel, Samsung, News Corp, and 21st Century Fox, have found their answer with AWS.

AWS also helps provide the answer to another critical questions in your cloud journey: “How to get to the cloud in the fastest, most efficient way possible?” A transformative migration is now within your reach. Now you can learn how you can migrate with your confidence by building your team’s cloud skills with AWS Training and certification by downloading this e-book.

10 Reasons to learn the AWS Cloud

It does not matter you’re new to AWS Cloud services, seeking to update your cloud skills, or exploring a cloud-first strategy for your organization it’s time to make a plan. Download this free E-Book and learn how AWS Training can help you better understand how the AWS Cloud works and how you can troubleshoot with confidence and skill

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