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Building Data Analytics Solutions Using Amazon Redshift

Last Updated: 08-03-2025

The Building Data Analytics Solutions Using Amazon Redshift course is designed for professionals who want to develop, deploy, and manage data analytics solutions using Amazon Redshift, AWS’s powerful data warehousing service. In this comprehensive course, you'll learn how to create scalable, high-performance data analytics architectures that provide real-time insights. You'll gain hands-on experience in loading, querying, and optimizing large datasets, as well as integrating Redshift with other AWS analytics tools like S3, Glue, and Athena.

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Schedule Learners Course Fee (Incl. of all Taxes) Register Your Interest
February 07th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
10% Off
$320
$288
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February 08th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
10% Off
$320
$288
February 09th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
10% Off
$320
$288
February 14th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
10% Off
$320
$288
February 15th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
10% Off
$320
$288
February 16th - 17th
06:00 AM - 10:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
10% Off
$320
$288
February 21st
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
10% Off
$320
$288
February 22nd
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
10% Off
$320
$288
February 23rd
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
Guaranteed-to-Run
10% Off
$320
$288
February 28th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
10% Off
$320
$288
March 01st
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
March 02nd
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
March 07th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
March 08th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
March 09th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
March 14th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
March 15th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
March 16th - 17th
06:00 AM - 10:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
March 16th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
Guaranteed-to-Run
20% Off
$320
$256
March 21st
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
March 22nd
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
March 23rd
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
Guaranteed-to-Run
20% Off
$320
$256
March 28th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
March 29th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
April 04th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
25% Off
$320
$240
April 05th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
25% Off
$320
$240

Course Prerequisites

  • Familiarity with basic cloud computing concepts.
  • Basic knowledge of data warehousing, SQL, and relational databases.
  • Recommended: Experience with AWS services like S3, EC2, and IAM is beneficial, but not mandatory.

Learning Objectives

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

  1. Design and deploy scalable data analytics solutions using Amazon Redshift.
  2. Optimize Redshift clusters for performance and cost efficiency, including distribution keys and compression techniques.
  3. Implement data loading techniques using AWS Glue and Redshift Spectrum for querying data directly from S3.
  4. Integrate Redshift with AWS analytics tools like Amazon QuickSight and Athena for enhanced business intelligence capabilities.
  5. Use Redshift for complex data analysis and BI reporting at scale.
  6. Apply best practices for security, monitoring, and cost optimization in Redshift environments.
  7. Troubleshoot common Redshift performance issues and implement tuning strategies.
  8. Prepare to work with large datasets and support real-time analytics in a cloud-native environment.

Target Audience

This course is ideal for:

  • Data engineers and architects looking to build efficient, scalable analytics solutions on AWS.
  • Business analysts, data scientists, and BI professionals seeking to enhance their data warehousing skills with Amazon Redshift.
  • IT professionals interested in optimizing data storage and analytics performance using AWS tools.
  • Developers looking to integrate data analytics capabilities into cloud-native applications.

Course Modules

  • Introduction to Data Analytics Architectures:

    • Overview of data warehouses, data lakes, and modern data architectures.
    • Benefits and use cases of each architecture.

  • Designing Data Warehouse Analytics Solutions:

    • Best practices for designing scalable and efficient data warehouses.
    • Implementing analytics solutions using Amazon Redshift.

  • Optimizing Data Storage:

    • Techniques for data compression and storage optimization.
    • Managing storage costs and performance.

  • Data Ingestion and Transformation:

    • Methods for ingesting and transforming data into Amazon Redshift.
    • Utilizing AWS services for ETL (Extract, Transform, Load) processes.

  • Infrastructure and Performance Management:

    • Selecting appropriate instance types and configuring clusters.
    • Implementing auto-scaling and designing network topology.

  • Security and Cost Management:

    • Applying security best practices for data protection.
    • Strategies for effective cost management within Amazon Redshift.

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What Our Learners Are Saying

The training, courseware, and lab experience were insightful and valuable. Keep up the great work and learning experience!

Nitish A. Anand – Accenture

Course: SC-200: Microsoft Security Operations Analyst
Date: 15th Jan 2025

The instructor was professional and very content.

Justine Daudi Mlimbilah – Bank of Africa, Tanzania

Course: MD-102: Microsoft 365 Endpoint Administrator
Date: 20th Dec 2024

The instructor was so knowledgeable & humble. Rare to find someone so confident but so down to earth these days. So appreciative to him.”

Mohd. Hassan – Ministry of Finance, UAE

Course: AZ-700: Designing and Implementing Microsoft Azure Networking Solutions
Date: 31st July 2024

Instructor is experienced and knowledgeable in guiding.

Dharshini Mahalaxmi – Dr. MGR Education and Research Institute, Chennai, India

Course: SC-300: Microsoft Identity and Access Administrator
Date: 4th May 2024