Building Data Analytics Solutions Using Amazon Redshift: Design, Build and Optimize Cloud Data Analytics Workloads.

  • Why get trained: Learn how to build analytics solutions with Amazon Redshift and related AWS services to ingest, transform and analyze data at scale.
  • Why it matters: Strong Redshift and cloud analytics skills help teams turn growing data volumes into faster reporting, better insights and more informed decisions.
  • Who should attend: Data engineers, data analysts, architects and technical professionals responsible for designing or supporting analytics workloads on AWS.

Build practical cloud analytics capability. Enroll and strengthen your ability to design scalable analytics environments on AWS. HRD Corp Claimable.

Overview

Learn how to integrate Amazon Redshift with a data lake to support analytics and machine learning workloads to reduce your time to data insight by building a data analytics solution using Amazon Redshift.

  • Build a data analytics solution using Amazon Redshift, a cloud data warehouse service.
  • Learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads.
  • Apply security, performance, and cost management best practices to the operation of Amazon Redshift.

Trainocate is an AWS Authorized Training Partner as well as the AWS Global Training Partner of the Year 2022-2025 is trusted by AWS to offer, deliver, and/or incorporate official AWS Training, including classroom and digital offerings.

Whether your team prefers to learn from live instructors, on-demand courses, or both, ATPs offer a breadth of AWS Training options for learners of all levels.

Skills Covered

In this course, you will learn to:

  • Compare the features and benefits of data warehouses, data lakes, and modern data architectures
  • Design and implement a data warehouse analytics solution
  • Identify and apply appropriate techniques, including compression, to optimize data storage
  • Select and deploy appropriate options to ingest, transform, and store data
  • Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case
  • Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights
  • Secure data at rest and in transit
  • Monitor analytics workloads to identify and remediate problems
  • Apply cost management best practices

Prerequisites

Students with a minimum one-year experience managing data warehouses will benefit from this course. We recommend that attendees of this course have:

Target Audience

This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines.

Course Curriculum

Module A: Overview of Data Analytics and the Data Pipeline

  • Data analytics use cases
  • Using the data pipeline for analytics

Module 1: Using Amazon Redshift in the Data Analytics Pipeline

  • Why Amazon Redshift for data warehousing?
  • Overview of Amazon Redshift

Module 2: Introduction to Amazon Redshift

  • Amazon Redshift architecture
  • Interactive Demo 1: Touring the Amazon Redshift console
  • Amazon Redshift features
  • Practice Lab 1: Load and query data in an Amazon Redshift cluster

Module 3: Ingestion and Storage

  • Ingestion
  • Interactive Demo 2: Connecting your Amazon Redshift cluster using a Jupyter notebook with Data API
  • Data distribution and storage
  • Interactive Demo 3: Analyzing semi-structured data using the SUPER data type
  • Querying data in Amazon Redshift
  • Practice Lab 2: Data analytics using Amazon Redshift Spectrum

Module 4: Processing and Optimizing Data

  • Data transformation
  • Advanced querying
  • Practice Lab 3: Data transformation and querying in Amazon Redshift
  • Resource management
  • Interactive Demo 4: Applying mixed workload management on Amazon Redshift
  • Automation and optimization
  • Interactive demo 5: Amazon Redshift cluster resizing from the dc2.large to ra3.xlplus cluster

Module 5: Security and Monitoring of Amazon Redshift Clusters

  • Securing the Amazon Redshift cluster
  • Monitoring and troubleshooting Amazon Redshift clusters

Module 6: Designing Data Warehouse Analytics Solutions

  • Data warehouse use case review
  • Activity: Designing a data warehouse analytics workflow

Module 7: Developing Modern Data Architectures on AWS

  • Modern data architectures

Dates & Locations

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July 14, 2026 - July 14, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 1800

July 14, 2026 - July 14, 2026

Location: Online
Modal: VILT
Availability: TBC
RM 1800

October 13, 2026 - October 13, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 1800

October 13, 2026 - October 13, 2026

Location: Online
Modal: VILT
Availability: TBC
RM 1800
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.

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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.

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Frequently Asked Questions

AWS Training and Certification helps you build and validate your cloud skills so you can get more out of the cloud. We offer both digital and classroom training—delivered virtually and in person—so you can choose to learn online at your own pace or learn best practices from an instructor. AWS Training and Certification offers prescriptive learning paths to get you started quickly. Progress along the path from foundational to intermediate training, and then dive deeper with advanced training to continue your learning.

Trainocate Malaysia offers technical role-based learning paths for architects, developers, and operations staff. We also offer a Cloud Practitioner learning path for business decision makers who want to learn AWS Cloud fundamentals. Additional solutions-based learning paths focus on topics like machine learning, storage, data analytics, and security.

You will learn directly from AWS experts who have domain experience and access to the latest AWS Cloud products, services, and teaching methods. This training will increase your credibility as someone who uses and makes decisions about cloud services.

Building clouds skills through high-quality digital training can also support the credibility of your entire organization. When your technologists and strategists are well trained in cloud skills, they can more easily project confidence about your cloud strategy.

AWS Certification helps learners build credibility and confidence by validating their cloud expertise with an industry-recognized credential and organizations identify skilled professionals to lead cloud initiatives using AWS. Just like learning music theory enables you to jam, a strong grounding in cloud principles empowers you to creatively explore cloud options.

Having the skills and insight to act upon your creativity and inspiration is essential to discovering new business opportunities in the cloud and helping your organization innovate. You’ll be able to experiment with AWS Cloud services, quickly testing products and implementing strategies to determine what best delivers your organizational goals.

You don’t need to be a technologist to benefit from learning cloud basics. By learning the AWS Cloud, you’ll gain first-hand knowledge of how the cloud can support greater efficiency, flexibility, and opportunity for both you and your organization.

You’ll also gain confidence in your ability to consider cloud options, so you’re better informed when making business and management decisions involving the cloud. By investing in training, organizations can accelerate cloud adoption, achieve business objectives sooner, and overcome concerns related to cloud adoption. Also, comprehensively trained organizations are nearly three times more likely to use the cloud to jump-start innovation. They’re also nearly four times more likely to meet cloud ROI requirements, and over four times more likely to overcome operational and performance concerns.

To answer that question, you’ll need to consider your role and honestly evaluate your existing level of experience and knowledge across various areas of technical and cloud expertise. AWS offers four categories of certifications, three of which correspond to the amount of experience you have with the AWS Cloud. For Specialty certifications, the amount of recommended experience varies by certification.

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